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Speakers Predictive Analytics World New York 2011

Dean Abbott, President, Abbott Analytics

Dean AbbottDean Abbott is President of Abbott Analytics in San Diego, California. Mr. Abbott has over 21 years of experience applying advanced data mining, data preparation, and data visualization methods in real-world data intensive problems, including fraud detection, risk modeling, text mining, response modeling, survey analysis, planned giving, and predictive toxicology. In addition, Mr. Abbott serves as chief technology officer and mentor for start-up companies focused on applying advanced analytics in their consulting practices.

Mr. Abbott is a seasoned instructor, having taught a wide range of data mining tutorials and seminars for a decade to audiences of up to 400, including PAW, KDD, AAAI, IEEE and several data mining software users conferences. He is the instructor of well-regarded data mining courses, explaining concepts in language readily understood by a wide range of audiences, including analytics novices, data analysts, statisticians, and business professionals. Mr. Abbott also has taught applied data mining courses for major software vendors, including SPSS-IBM Modeler (formerly Clementine), Unica PredictiveInsight (formerly Affinium Model), Enterprise Miner (SAS), Model 1 (Group1 Software), and hands-on courses using Statistica (Statsoft), Tibco Spotfire Miner (formerly Insightful Miner), and CART (Salford Systems).

Full-day Workshop: Hands-On Predictive Analytics with SAS Enterprise Miner

Case Study: Turning Member Satisfaction Surveys into an Actionable Narrative

Expert Panel: Wise Enterprise: Best Practices for Managing Predictive Analytics

Dinabandhu Bag, Associate Professor, National Institute of Technology, India

Dinabandhu BagDr. Dinabandhu Bag is an Associate Professor in the School of Management the National Institute of Technology, Rourkela, India. He teaches Finance and Economics and specializes in advanced financial modeling. Dr. Bag has over 13 years of industry experience in the implementation of enterprise analytic applications for banks and FIs. Dr. Bag worked with Oracle Finance Software Services Ltd, Citi Bank N.A., GENPACT Ltd and the Reserve Bank of India, Mumbai. He has contributed to several journals and presented at conferences. Dr. Bag holds a M.Phil. by Research in Economics from IGIDR, Mumbai and Ph.D. in Finance from the University of Mysore.

Case Study: Product Testing in Financial Services: Financial Analytics

Johan Bollen, Associate Professor, School of Informatics and Computing, Center for Complex Networks and System Research, Indiana University

Johan BollenJohan Bollen is associate professor at the Indiana University School of Informatics and Computing (2009-present). He was formerly a staff scientist at the Los Alamos National Laboratory (2005-2009). His research takes place at the intersection between informatics, computer science, network science, social science, and informetrics. His present interests include the development of quantitative tools for the assessment of scholarly impact from usage data (MESUR project) and the study of social phenomena such as public mood states and social contagion from large-scale online networking environments.

Social Media Analysis for Market Prediction: Collective Mood States and the Wisdom of Crowds

Jennifer Boyce, Senior Manager, Deloitte Financial Advisory Services

Jennifer BoyceJennifer Boyce is a Senior Manager with Deloitte Financial Advisory Services LLP in the Data Analytics practice. She has 12 years experience analyzing structured and unstructured electronic data in corporate investigations, litigation, and claims environments. Ms. Boyce specializes in the employment of traditional and advanced analytic approaches to forensic investigations and anti-fraud/anti-corruption efforts; most recently managing Deloitte's claims management and adjudication efforts in one of the largest bankruptcies in U.S. history, as well as leading several investigative workstreams of one of the world's largest investigations involving alleged violations of the U.S. Foreign Corrupt Practices Act. Ms. Boyce has spent considerable time working internationally, holds a Bachelor of Business Administration from Brock University and a post graduate diploma in Computer Network Operations from Niagara College. Ms. Boyce is based in New York.

Platinum Sponsor Presentation: Forensic Analytics and Continuous Monitoring: Leveraging Predictive Analytics

Robert Broughton, Crime Analyst, Charlotte-Mecklenburg Police Department (CMPD)

Robert BroughtonRobert Broughton is Crime Analyst at Charlotte-Mecklenburg Police Department (CMPD) in Charlotte, North Carolina. Recently at PAW in San Francisco, Robert spoke about the background and implementation of CMPD's Predictive Analytics Dashboard project. Charlotte had been using technology to reduce crime and disorder for some years prior and had a number of information tools and products that it was making available to officers and commanders. Using RStat, CMPD created predictive models for 7 crime categories using a variety of variables from different data sources. These models were then incorporated into their new Business Intelligence Dashboard solution where an interactive mapping system displays the results of these models to sworn personnel. This system has allowed CMPD to save time and efficiently place officers in the areas of the city most likely to see target crimes occur.

Case Study: Law Enforcement Analytics Solution Helps Identify Potential Criminal Activity

Donald Cozine, Director of Statistical Analysis, ANALYTICi

Donald CozineFor the past 15 years, Don Cozine has provided statistical and analytical support for marketing projects across a variety of industries and channels. These efforts include advertising effectiveness, multi-channel return on investment, offer and campaign optimization for brands such as AT&T, Hilton Honors, Hampton Inn, Virgin Mobile and National Grid.

A statistician in the advanced analytics group at National Grid, Don enjoys spending time with his family, traveling and programming.

Case Study: Methods for Market Mix Modeling Explained

Tim Daciuk, Business Development Manager, Advanced Analytics, IBM

Tim DaciukTim Daciuk is a Business Development Manager with IBM. Tim works to help customers, and potential customers better understand the value of Predictive Analytics; how that aligns with the IBM software family, and, how it aligns with customer business strategies. Tim provides customers with everything from a business understanding to in-depth technical demonstrations of the Predictive Analytics product suite in action. Additionally, Tim is an accomplished speaker and has spoken at conferences, meetings and professional seminars throughout Canada, the U.S., Europe and Asia. Tim also leads several seminars in Predictive Analytics across North America for audiences from technical specialists to business decision makers.

Tim Daciuk has a 30 year history in statistics, data mining and predictive analytics. He has worked in roles as a consultant, trainer, pre-sales, and marketing. Tim has worked with both Public Sector and Commercial endeavors, as well as serving as an advisor to many academic research projects. Of late, Tim has specialized in the use of data and text mining and how these technologies can be applied in a business context, across industries. Tim works closely with industry and software leaders to help business government and institutions understand and unlock the power of predictive analytics.

Full-day Workshop: Hands-On Introduction to Text Analytics with IBM SPSS

Will Dannenberg, adCenter R&D Group Program Manager, Microsoft

Will DannenbergWill Dannenberg has spent the past seven years at Microsoft, including the last five at Microsoft adCenter. In his role at Microsoft, Will is responsible for adCenter's marketplace health from a revenue and relevance perspective. His team has a deep understanding of the nuances of the day-to-day metric fluctuations in adCenter, analyzing and advocating system changes from an advertiser, publisher and system health point of view. The team mostly focuses on paid search for both PC and the emerging mobile market. Will has a passion for all things data. Will also holds an MBA from the University of Washington, Michael G. Foster School of Business (2007 - 2009).

Case Study: Mobile Search Advertising & the Importance of Data in Understanding Customer Intent

Thomas Davenport, President's Distinguished Professor, Babson College, Author, Competing on Analytics: The New Science of Winning;
Co-Founder, International Institute for Analytics

Thomas DavenportVoted the third leading business-strategy analyst (just behind Peter Drucker and Tom Friedman) in Optimize Magazine, Thomas Davenport is a world-renowned thought-leader who has helped hundreds of companies revitalize their management practices. Tom combines his interests in business, research, and academia as the President's Distinguished Professor in Management and Information Technology at Babson College. He is also the Director of Research and faculty leader at the International Institute for Analytics. Tom's Competing on Analytics idea was recently named by Harvard Business Review as one of the twelve most important management ideas of the past decade and the related article was named one of the ten must read articles in HBR's 75 year history. Published in February 2010, Tom's related book, Analytics at Work: Smarter Decisions, Better Results, was named one of the top fifteen must reads for 2010 by CIO Insight.

Keynote: Everyday Analytics: Making Leading Edge Pervasive

Antonia de Medinaceli, Senior Business Analyst, Elder Research, Inc.

Antonia de Medinaceli Antonia de Medinaceli has extensive experience in all aspects of the data mining process, and has solved challenges in many industries, including financial, crime analysis, and customer relationship management (CRM) industries. Her consulting experience is both domestic and international. Antonia is experienced with most of the leading statistical software packages. In addition to her consulting experience, she has taught data mining short courses with the Elder Research team. She has degrees in Computer Science and Systems Engineering from the University of Virginia.

Case Study: Fighting the Good Fraud Fight

John Elder, CEO & Founder, Elder Research, Inc.

Dr. John F. ElderDr. John Elder heads a data mining consulting team with offices in Charlottesville, Virginia and Washington DC. Founded in 1995, Elder Research, Inc. focuses on investment, commercial and security applications of advanced analytics, including text mining, forecasting, stock selection, image recognition, process optimization, cross-selling, biometrics, drug efficacy, credit scoring, market timing, and fraud detection.

John obtained a BS and MEE in Electrical Engineering from Rice University, and a PhD in Systems Engineering from the University of Virginia, where he's an adjunct professor teaching Optimization or Data Mining. Prior to 15 years at ERI, he spent 5 years in aerospace defense consulting, 4 heading research at an investment management firm, and 2 in Rice University's Computational & Applied Mathematics department. Dr. Elder has authored innovative data mining tools, is a frequent keynote speaker, and was co-chair of the 2009 Knowledge Discovery and Data Mining conference, in Paris.

John's courses on analysis techniques -- taught at dozens of universities, companies, and government labs -- are noted for their clarity and effectiveness. Dr. Elder was honored to serve for 5 years on a panel appointed by the President to guide technology for National Security. His book with Bob Nisbet and Gary Miner, Handbook of Statistical Analysis & Data Mining Applications, won the PROSE award for Mathematics in 2009. His book with Giovanni Seni, Ensemble Methods in Data Mining: Improving Accuracy through Combining Predictions, was published in February 2010. John is a follower of Christ and the proud father of 5.

Full-day Workshop: The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes

Special Plenary Session: Data Mining Lessons Learned – Technical & Business - from Applied Projects

Usama Fayyad, Ph.D., Chairman & CTO of ChoozOn, Former Chief Data Officer, Yahoo!

Dr. Usama Fayyad Dr. Usama Fayyad is Chairman & CTO of ChoozOn Corporation, which helps consumers makes sense of the chaos of deals that are overwhelming them today online. Just as people use Facebook to manage their social network, and LinkedIn to get more from their professional network, they use ChoozOn to get the most from their consumer network. Prior to ChoozOn, Fayyad founded Open Insights, a data strategy, technology and consulting firm to help enterprises understand data strategy and deploy data-driven solutions that effectively and dramatically grow revenue and competitive advantages. Up until September 2008, he was Yahoo!'s chief data officer and executive vice president of Research & Strategic Data Solutions. Fayyad was the industry's first chief data officer, responsible for Yahoo!'s global data strategy, architecting Yahoo!'s data policies and systems, prioritizing data investments, and managing the Company's data analytics and data processing infrastructure which processed over 25 Terabytes of data per day. Fayyad also founded and managed the Yahoo! Research organization with offices around the world and which became the premier scientific research organization to develop the new sciences of the Internet, on-line marketing, and innovative interactive applications. Prior to joining Yahoo!, Fayyad co-founded and led the DMX Group, a data mining and data strategy consulting and technology company that was acquired by Yahoo! in 2004. In early 2000, he co-founded and served as CEO of Audience Science (originally Revenue Science/digiMine, Inc.), a data analysis and data mining company that built, operated and hosted data warehouses and web analytics for some of the world's largest enterprises in online publishing, retail, manufacturing, telecommunications and financial services. The company today specializes in Behavioral Targeting and advertising networks. Fayyad's professional experience also includes five years spent leading the data mining and exploration group at Microsoft Research and building the data mining products for Microsoft's server division. From 1989 to 1996 Fayyad held a leadership role at NASA's Jet Propulsion Laboratory (JPL), where his work in the analysis and exploration of scientific databases gathered from observatories, remote-sensing platforms and spacecraft garnered him the top research excellence award that Caltech awards to JPL scientists, as well as a U.S. Government medal from NASA.

Fayyad earned his Ph.D. in engineering from the University of Michigan, Ann Arbor (1991), and also holds BSE's in both electrical and computer engineering (1984); MSE in computer science and engineering (1986); and M.Sc. in mathematics (1989). He has published over 100 technical articles in the fields of data mining and Artificial Intelligence, holds over 30 patents, is a Fellow of the AAAI (association for Advancement of Artificial Intelligence) and a Fellow of the ACM (association of Computing Machinery), has edited two influential books on the data mining and launched and served as editor-in-chief of both the primary scientific journal in the field of data mining (Data Mining and Knowledge Discovery) and the primary newsletter in the technical community published by the ACM: SIGKDD Explorations. He is an active angel investor in the U.S. and in the Middle East. He is part of the U.S. Dept of State Delegation on Entrepreneurship in the Middle East and was recently appointed by King Abdullah II of Jordan to lead the OASIS-500, a Tech Stars model incubator, entrepreneurship training program, and angel network that aims to fund 500 Internet and Technology startups in the next 5 years.

Special Plenary Session: The Future of Targeting and On-Line Marketing – Predictive Analytics on Big Data

Felipe Fernandez, CEO & Partner, Interefe (Brazil)

Felipe FernandezFelipe Fernandez Martinez obtained a degree in Chemical Engineering at the Universidad Michoacana de San Nicolás de Hidalgo. He subsequently completed an MBA at the Instituto Panamericano de Alta Dirección de Empresas (IPADE) and certificates in corporate finance at ESCP Europe and the Institituto Tecnológico Autonomo de México. Felipe worked at Carrefour for over 12 years. He was Carrefour’s Director of Strategic Projects for Latin America with responsibility for Cost optimization, Procurement, Pricing, Supply Chain, Implementation of analytics tools, and non-parametrical and multivariate regression modeling strategies. Prior to joining Carrefour Latin America, Felipe worked at the Carrefour Headquarters in Paris, and also in Italy and Mexico; his positions were: Cost Optimization Director, Chief Procurement Officer of Shared Services, Cost Cutting Manager and Financial Controller. Felipe currently is CEO at Interefe, where he advises retailers on projects turning complexity into competitive advantages in: Energy efficiency, Analytics and Cost optimization.

Case Study: Broad Scale Predictive Modeling Optimization in Marketing and Retail Sales

Frank Fiorille, Director of Enterprise Risk Management, Paychex, Inc.

Frank Fiorille Frank Fiorille is the Director of Risk Management at Paychex, a leading provider of payroll, human resource, and benefits outsourcing solutions for small- to medium-sized businesses. Fiorille has over 20 years experience in risk management and credit and joined Paychex in 2002 to lead the company’s initiative to build an enterprise wide risk apparatus.

Before joining Paychex he spent four years with PNC Financial working in their Corporate Credit Policy area. Prior to his work with PNC, he spent twelve years with Citigroup holding various risk management and credit roles. He is a graduate of the inaugural 2007 class at the Wharton Business School at the University of Pennsylvania advanced risk management program.

He was named as one of the 100 Most Influential People in Finance-Treasury & Risk Magazine in 2008 and 2009. He is credited for leading successful projects to build the first risk and retention models in both the educational lending and payroll outsourcing industries.

Case Study: Combat Client Churn with Predictive Analytics

Matthew Flynn, Director of Claim Research, Travelers Insurance

Matthew FlynnMatthew J. Flynn, Ph.D. is director of Claim Research at Travelers Insurance in Hartford, CT. He supports efforts at moving towards a data-driven decision-making business strategy through a wide variety of statistical modeling and information technology projects. He is an avid student of modern analytic techniques and a frequent speaker at P&C industry and SAS user group meetings. He has a degree in Finance from Purdue University and ten-plus years experience in analytics in the Property-Casualty Insurance industry. Matt also spent three years as a SAS employee in the SAS Financial Services Business Unit.

Case Study: Creating more Analytical Bandwidth with R

Kaiser Fung, Senior Director of Strategic Analytics, Sirius XM Radio & Author of Numbers Rule Your World: The Hidden Influence of Probability and Statistics on Everything You Do (McGraw-Hill, 2010)

Kaiser Fung Kaiser Fung is Senior Director of Strategic Analytics at Sirius XM Radio, and author of Numbers Rule Your World: the hidden influence of probability and statistics on everything you do (McGraw-Hill, 2010). At Sirius XM Radio, his team is responsible for applying advanced statistical techniques to solve business problems, such as multivariate testing and predictive modeling. Mr. Fung has over 15 years of experience building predictive models for the media, Internet and banking companies. He holds an MBA from Harvard Business School, and statistics and operations research degrees from Cambridge and Princeton. He teaches statistics for management at New York University.

Lab Session: Live Topical Demo: Making Predictive Models Count

Anthony Goldbloom, Chief Executive Officer, Kaggle

Anthony Goldbloom Anthony Goldbloom is the Founder and CEO of Kaggle Pty Ltd, a global platform for data prediction competitions. Anthony assists companies with framing modeling tasks as data prediction competitions, ensuring competitions reflect real-life projects, and that the results can be integrated into their day-to-day operations

Before founding Kaggle, Anthony worked in the macroeconomic modeling areas of the Reserve Bank of Australia and before that the Australian Treasury. In these roles, Anthony was responsible for building and maintaining macroeconomic models of the Australian economy. He used these models to generate economic forecasts and to simulate the impact of changes in interest rates and fiscal policy on the Australian economy.

Anthony holds a first class honors degree in economics and econometrics from the University of Melbourne and has published in The Economist magazine and the Australian Economic Review.

Case Study: Predictive Modeling Competitions and the Heritage Health Prize

David C. Gondek, IBM Technical Lead, Watson Knowledge Capture and Learning and Healthcare Adaptation, IBM Research

Thomas DavenportDr. David Gondek leads the Knowledge Capture and Learning group and Medical Adaptation Technical effort for the IBM Research Watson project, which develop and apply analytics using techniques from natural language processing, machine learning, and knowledge representation and reasoning for the Watson question answering system, focusing on the tasks of analyzing questions, scoring evidence, and evaluating confidence in hypotheses. He has been involved in numerous aspects of the Watson project to produce a system capable of winning at the quiz show, Jeopardy, and is currently working on extending and applying Watson to help support evidence-based decision making in medicine. Dr. Gondek received his B.A. in Mathematics and Computer Science at Dartmouth College and his Ph.D. in Computer Science from Brown University.

Keynote: Building Watson – An Overview of the DeepQA Project

Spencer Greenberg, Chief Executive Officer & Chief Software Architect, Rebellion Research

Spencer GreenbergSpencer Greenberg is the Chief Executive Officer and Chief Software Architect of Rebellion Research, the quantitative hedge fund that he co-founded in 2005 at the age of 22. Rebellion applies machine learning technology that Mr. Greenberg developed to invest in the stock market. Prior to founding Rebellion, Mr. Greenberg designed software for a leading counter-terrorism think tank, worked on projects in pure and applied math with Columbia professors, and performed software development work for Neuberger Berman, LLC. Mr. Greenberg graduated Magna Cum Laude from Columbia University's School of Engineering with a Bachelor of Science in applied mathematics and a minor in computer science. He is currently a math PhD candidate at New York University's Courant Institute of Mathematical Sciences, specializing in the mathematics of machine learning. Mr. Greenberg has spoken about artificial intelligence and investing on Bloomberg News, Bloomberg Radio, CNBC, Canada's Business News Network, China's Phoenix TV, in the Wall Street Journal, at Columbia Business School and at the Stern School of Business.

Case Study: Humans, Rules & Machine Learning: Three Prediction Paradigms

Kurt Gutzmann, Managing Director, GCX Advanced Analytics LLC

Kurt GutzmannKurt Gutzmann is the managing director of GCX Advanced Analytics LLC, which provides fraud analytics consulting services to the banking and financial services industry. Mr. Gutzmann has worked extensively with major banks, deploying fraud detection solutions for online banking, credit/debit card, deposit account, and cross-channel fraud. Mr. Gutzmann has over 30 years of experience, and received bachelor's and master's degrees in industrial engineering and operations research from Virginia Tech.

Case Study: Business Case Development for Credit and Debit Card Fraud Re-Scoring Models

David Hastings, Director, Teradata Corporation

Kurt GutzmannDavid Hastings is the Director of the Teradata Advanced Analytics Center of Expertise. He is passionate about improving the way people do business through the use of information, analysis, and technology. Hastings has an extensive background in both analytics and analytical applications. He has served a number of roles in analytics, including data warehouse manager, director of product management, and advanced analytics. In his current role, Hastings is responsible for sale, management, execution, and delivery of projects at major customer accounts. In addition, he works with Teradata development on design and sales of software solutions. He is also actively involved in the SAS and Teradata strategic partnership.

Gold Sponsor Presentation: An Analytics Environment for the New Reality

Valerie Hyde, Ph.D., Predictive Analytics Solutions Architect, IBM

Valerie Hyde Valerie Hyde is a Predictive Analytics Solution Architect at IBM. Her specialties are data mining, predictive modeling, and data visualization. She is passionate about helping organizations make smarter business decisions through analytics.

While Valerie deals with many industries in her current position, she has been especially interested in marketing analytics throughout her career. At IBM, she helps customers with targeted marketing campaigns in order to reach the right customers and spend less money in the process. She worked at Accenture Marketing Sciences and at AT&T Research where she modeled the effectiveness of a viral marketing campaign. Before joining IBM, she worked at SAS in the JMP Division.

Valerie has a PhD in Applied Statistics from the University of Maryland. Her doctoral research involved mining for patterns in online auction data. She also has a Bachelor of Science in Mathematics and Economics from Binghamton University.

Lab Session: Live Topical Demo: The Analytic Advantage: How Banks Can Profit from Customer Insight

Piyanka Jain, CEO,

Piyanka JainPiyanka Jain's interest lies in deriving actionable insights from data to enable informed trade-offs and decision making. She enjoys problem solving and finds herself driven towards empowering business professionals to make better data driven business decision through Aryng's "Data to Decisions"™ framework she teaches. With Aryng, she is creating an organization to drive business transformation through the power of analytics.

Before founding Aryng, she was heading the NA Business Analytics at PayPal, leading strategic analytics, managing and setting agenda for the team, defining strategic roadmap to find NA business drivers. At PayPal, she and her team have delivered several high impact projects including product portfolio analysis, merchant lifecycle analysis, Voice of Customer analysis, Next Best Product Model for Merchant with $84+ mm revenue impact.

Prior to this, Piyanka drove direct measurable revenue impact of $18 mm through Strategic/Marketing analytics in partnership with Adobe Product Marketing and Relationship Marketing team. Within Marketing Operations and Analytics department, her role was to lead the organization into learning more about their products and customers through establishing appropriate engagement model with BU and rigorous mining of data. Within Relationship Marketing, Piyanka and her team's role involved designing and analyzing campaigns, creating and executing appropriate segmentation and targeting strategy, Fine tuning messaging, creatives and offers by Test & Control and improving targeting and increasing marketable universe by building response models and propensity models.

Before Adobe, Piyanka co-founded Out of Box Media in 2003. The company's first Ad Campaign started with Chinese boxes and then grew to incorporate other types of containers including Pizza boxes, cake boxes etc, delivering up to 2% campaign response rates.

Piyanka enjoys networking with other industry professionals, sharing and learning about technical and organizational challenges and solutions.

Full-day Workshop: Predictive Analytics: Fundamentals and Use Cases

Full-day Workshop: Hands-On Business Analytics: Insights to Impact

Case Study: Putting Predictive Analytics into Context: The Analytics Value Chain

Kathleen Kane, Principal Decision Scientist, Fidelity Investments

Kathleen Kane Kathleen Kane is a Principal Decision Scientist with the Modeling and Analytics Strategy team at Fidelity Investments in Smithfield, RI. The Modeling and Analytics Strategy team works with partners in marketing, distribution and product to answer business questions using statistical data analysis.

Kathleen has more than ten years of data mining experience in the financial services industry. Kathleen received her BA in engineering from Dartmouth College, and her MS from the MIT Sloan School of Management.

True-Life Modeling: Mining for the Most Truly Responsive Customers & Prospects

Max Kuhn, Director, Nonclinical Statistics, Pfizer

Max Kuhn Max Kuhn is a Director of Nonclinical Statistics at Pfizer Global R&D in Connecticut. He has been applying models in the pharmaceutical industries for over 15 years.

He is a leading R developer and the author of several R packages including the CARET package that provides a simple and consistent interface to over 100 predictive models available in R.

Mr. Kuhn has taught courses on modeling within Pfizer and externally, including a class for the India Ministry of Information Technology.

Half-day Workshop: R Bootcamp: For Newcomers to R

Full-day Workshop: R for Predictive Modeling: A Hands-On Introduction

Shilpa Lawande, Vice President of Engineering, Vertica, An HP Company

Shilpa LawandeShilpa Lawande has been an integral part of the Vertica engineering team since its inception, bringing over 10 years of experience in databases, data warehousing and grid computing to Vertica. Prior to Vertica, she was a key member of the Oracle Server Technologies group where she worked directly on several data warehousing and self-managing features in the Oracle 9i and 10g databases. Lawande is a co-inventor on several patents on query optimization, materialized views and automatic index tuning for databases. She has also co-authored two books on data warehousing using the Oracle database as well as a book on Enterprise Grid Computing.?Lawande has a Masters in Computer Science from the University of Wisconsin-Madison and a Bachelors in Computer Science and Engineering from the Indian Institute of Technology, Mumbai.

Lab Session: Live Topical Demo: Social Network Analytics – Using Influence to drive a better Customer Experience

Han Sheong Lai, Director of Operational Excellence & VOC, PayPal

Han Sheong LaiHan Sheong Lai, the Director of Operational Consulting at PayPal, focuses on advocating and driving operational excellence culture, principles and practices on customer, business process Improvement, strategy deployment, defects elimination and innovation at PayPal to help achieve PayPal strategic, customer-focus objectives. He is exploring the use of text and sentiment analytics to better understand PayPal’s large number of customer verbatim to help develop a faster and more effective customer closed-loop process as well as using such insights to help improve product experience. Han received his BS in engineering from the University of New South Wales, Australia, and his MBA from the Athens Laboratory of Business Administration, Greece. He has co-authored an award-wining case study on e-commerce.

Case Study: Identifying Customers Who Expressed Intend-to-Churn or Defect from Large Number of Surveyed Verbatim

Bill Lazarus, President & CEO, Seer Analytics, LLC

Bill LazarusBill Lazarus is President and CEO of Seer Analytics, LLC, a technology-based research and analytics company in Tampa Florida. Seer produces actionable intelligence to help clients make smarter decision and drive business performance.

Bill has worked in the non-profit and corporate sectors. He joined the Dun & Bradstreet Corporation in 1984 where he held positions of increasing responsibility at three divisions and the corporate office.

In 1994, Bill founded Lazarus Associates, a consulting firm specializing in the use of data and analytical tools to support strategy development. In January 2001 Bill and his partners formed Seer Analytics to provide consumer research products and services requiring a substantial technological infrastructure.

Since its formation Seer has developed proprietary software and processes to automate complex data collection, analysis and reporting. Seer reports embed sophisticated analytics yet are designed to be accessible and meaningful to a non-technical audience. They have been used at every level of the organization, from frontline operations to boardroom planning. Bill received his BA from the University of Wisconsin, his MA from the University of Toronto, and his SM and PhD from the Massachusetts Institute of Technology.

Case Study: Turning Member Satisfaction Surveys into an Actionable Narrative

David Liebskind, Retail Analytics Leader, GE Capital

David LiebskindDavid Liebskind has 15 years of financial services experience with companies such as JPMorgan Chase, MetLife and GE Capital. At JPMorgan Chase David worked in Credit Cards, the Retail Bank and Small Business in roles such as Information Management, Database Marketing and eBusiness Analytics. At Metlife David worked in the Strategic Market Development group.

At GE Capital David was in a variety of roles such as the Customer Retention Leader for the Americas, the Analytics Leader for Canada and is now the Retail Analytics Leader across GE’s US credit card business. David has led the development of segmentation and predictive models for 10 different countries as well as identifying actionable customer insights to grow sales and profitability. David has a BS from Penn State University and an MBA from Pace University in New York City.

Using Segmentation and Predictive Analytics to Reduce Customer Attrition

Shajy Mathai, Executive Vice President & Chief Technology Officer, OpenRisk

David Liebskind Shajy Mathai is Executive Vice President and Chief Technology Officer at OpenRisk, LLC. Mr. Mathai has more than fifteen years experience in technology leadership in the Insurance industry. Prior to his current role, Mr. Mathai served as Director of Research and Technology and Director of eCommerce for Guy Carpenter, a global reinsurance intermediary.

Rethinking Analytic Solutions: Modelling Catastrophic Risk

Erika McBride, Manager of Modeling & Risk Review, Paychex, Inc.

David LiebskindErika P. McBride, CPA, is the Modeling and Risk Review Manager at Paychex, Inc. Aligned within the Risk Management team, Erika oversees a team of data-mining and predictive modeling experts, while also facilitating cross-functional teams to assess risk throughout the company, resulting in millions of dollars contributed to the bottom line. Erika joined Paychex in 1997 as an Accountant, working her way through various leadership capacities in financial and risk management roles. Prior to Paychex, Erika was a staff auditor with a regional public accounting firm, and a member of a regional HMO Finance team. She holds an MBA from Rochester Institute of Technology, a B.S. in Accounting from SUNY Geneseo, and is an Executive Leadership doctoral candidate at St. John Fisher College. Erika is a three-time presenter and panelist at Treasury and Risk's Alexander Hamilton Best Practices Summit, and was a presenter at the 2011 RIMS Conference and Exhibition.

Case Study: Combat Client Churn with Predictive Analytics

Jeff Mergler, Lead Statistical Applications Trainer, TIBCO Spotfire

David LiebskindJeff Mergler is an analytics field engineer at TIBCO Spotfire where he specializes in helping organizations implement custom analytics that are flexible in a changing environment. He has enjoyed success turning innovative research ideas into automated and deployable applications. These applications include uplift modeling, revenue forecasting, default/fraud prediction, and text data mining of social networking websites. He currently leads statistical applications training development including the use of S+ and R with Spotfire. Previously, he taught mathematics, developed BI systems, and managed IS teams and infrastructure. Jeff earned his MS in Statistics from Colorado State and his MA in Information Systems from Webster.

Full-day Workshop: Deploying User-Friendly Predictive Analytics: Delivering Results to Business Users with Interactive Applications

Sean Pfister, Senior Market Analyst, RichRelevance®

Sean PfisterSean Pfister is Senior Market Analyst at RichRelevance. He is part of a multi-disciplinary Analytics team charged with making sense out of RichRelevance's rich trove of customer insights. Sean is charged with making sense of the close to 2.9 billion monthly product recommendations, dynamically served by RichRelevance's product recommendation algorithms. Sean's has more than twenty years of experience in customer research derived from survey and transactional data. He pioneered one of the first online sampling methods for use in consumer surveys while at CNET and has developed insights and research in media and audience measurement, technology product adoption, financial services and online shopping.

Case Study: The RecLab $1 Million Prize on Driving Innovation with Live Data in the Cloud

Mukund Raghunath, Geography Head, Mu Sigma

Mukund RaghunathMukund Raghunath has over 11 years of Engineering and consulting experience with Motorola and a leading Sales and Marketing Strategy firm in the US. He has helped several Fortune 500 companies in the Pharmaceutical and Healthcare space address a broad range of business issues. He also has extensive experience in product planning, development and management in the telecom sector. Mukund has a Masters Degree in Computer Science from the University of Illinois and an MBA with honors from the University of Chicago, Graduate School of Business.

Case Study: Mobile Search Advertising & the Importance of Data in Understanding Customer Intent

Senthil Ramanath, Head of Analytics, ACE Cash Express

Senthil RamanathSenthil Ramanath has 15 years of experience in the field of Marketing and Credit Risk Analytics. He is currently with ACE Cash Express heading up the analytics, and prior to that, he has worked with Capital One as the Director of Credit Risk Management. Senthil has built and fostered analytic talent and spearheaded creation of data-marts that acts as a platform to build marketing and credit risk analytics.

In addition to risk analytics, Senthil has optimized pricing and credit limits and has designed products in the consumer finance industry. He is very passionate about creating value and spreading the best practices of decision science. He holds an MBA from the Kellogg School of Management and a graduate degree in Engineering. In his leisure time, Senthil enjoys playing with his two daughters and riding his motorcycle.

Case Study: Credit Risk Analytics Framework for Subprime Loans

Karl Rexer, Ph. D., President, Rexer Analytics

Karl RexerKarl Rexer founded Rexer Analytics, a Boston-based analytic consulting firm, in 2002. He and his teams have delivered analytic solutions to dozens of companies. Solutions include fraud detection, customer attrition analysis and prediction, customer segmentation, sales forecasting, direct mail targeting, market basket analysis and survey research. Karl is a leader in the field of applied data mining. He has served on the organizing committees of several international conferences, and is on the Board of Directors of Oracle's Business Intelligence, Warehousing, and Analytics (BIWA) Special Interest Group. Karl is frequently invited to speak at MBA programs, conferences, and user groups.

Each year, Rexer Analytics conducts and publishes the widely read Annual Data Miner Survey. In 2009 over 700 data miners from around the globe participated in the third annual survey. Karl holds a PhD from the University of Connecticut.

Industry Trends: 2011 Data Miner Survey Results: Highlights

Ramendra Sahoo, Senior Vice President of Risk Technology, Citibank

Ramendra SahooRamendra Sahoo leads specialized analytic efforts as a part of CITI's Decision Management group. His prior work experience includes over a decade long experience at IBM Research as a Researcher and nearly four years of work experience at TATA Technology in Pune India. Ramendra has a Ph.D. in Scientific Computing from Stony Brook and MBA from Cornell University, over and above a Master's degree in engineering from Indian Institute of Technology Chennai (India) and a BE in mechanical engineering from National Institute of Technology Durgapur (India). With nearly 50 publications, Ramendra is active within technology and scientific community, organizing and leading several international and professional conferences and workshops, while actively reviewing and publishing in the area of data mining and knowledge discovery. Ramendra is five times recipient of innovation awards and three times recipient of research division awards at IBM research over and above several scientific and technical community leadership awards.

Case Study: Predictive Analytics in Customer Digital Payments

John Sall, Co-Founder, SAS & Chief Architect, JMP

John SallJohn Sall is a co-founder and Executive Vice President of SAS, the world's largest privately held software company. He also leads the JMP business division, which creates interactive and highly visual data analysis software for the desktop.

Sall joined Jim Goodnight and two others in 1976 to establish SAS. He designed, developed and documented many of the earliest analytical procedures for Base SAS® software and was the initial author of SAS/ETS® software and SAS/IML®. He also led the R&D effort that produced SAS/OR®, SAS/QC® and Version 6 of Base SAS.

In the late 1980s, Sall noticed a niche that SAS software was not filling. Researchers and engineers – whose jobs didn't revolve solely around statistical analysis – needed an easy-to-use and affordable stats program. A new software product, today known as JMP, was launched in 1989 to dynamically link statistical analysis with the graphical capabilities of Macintosh computers. Now running on Windows and Macintosh, JMP continues to play an important role in modeling processes across industries as a desktop data visualization tool. It also provides a visual interface to SAS in an expanding line of solutions. Sall remains the lead architect for JMP.

He was elected a Fellow of the American Statistical Association in 1998 and has held several positions in the association's Statistical Computing section. He serves on the board of The Nature Conservancy, reflecting his strong interest in international conservation and environmental issues. He also is a member of the North Carolina State University (NCSU) Board of Trustees. In 1997, Sall and his wife, Ginger, contributed to the founding of Cary Academy, an independent college preparatory day school for students in grades 6 through 12.

Sall received a bachelor's degree in history from Beloit College in Beloit, WI, and a master's degree in economics from Northern Illinois University in DeKalb, IL. He studied graduate-level statistics at NCSU, which awarded him an honorary doctorate in 2003.

Diamond Sponsor Presentation: Speeding Up Exploration

Puneet Sharma, Senior Manager, Paypal

Puneet SharmaPuneet is an effective leader with 15 years’ track record of spearheading/executing highly effective marketing and product strategy initiatives in financial/consulting industries, especially as they relate to consumer behavior. His expertise is in driving strategy through consumer insights, deep analytics, and by providing actionable recommendations for effective change execution. With his leadership background he has spearheaded many analytics-based initiatives in the financial space for organizations such as PayPal, Capital One, and HSBC that have transformed how consumer-based retail business in this space can capture lucrative & previously unclaimed opportunities.

He is currently at PayPal, leading X-border strategy for North America and likes to identify opportunities proactively to drive growth for the business. Recently he spearheaded an initiative to understand drivers of conversion to address consumer pain points in checkout flow through advanced analytics, which resulted in identifying actionable customer pain points worth $20M.

Full-day Workshop: Predictive Analytics: Fundamentals and Use Cases

Full-day Workshop: Hands-On Business Analytics: Insights to Impact

Case Study: Putting Predictive Analytics into Context: The Analytics Value Chain

Manu Sharma, Principal Research Scientist, LinkedIn

Manu SharmaDr. Manu Sharma ( is Principal Research Scientist at LinkedIn where he runs the Data Analytics team. His main interests are in the fields of user behavior, predictive modeling, recommendation engines, collaborative filtering, and just drawing compelling and fun insights from data. Prior to joining LinkedIn, he was Lead Research and Development Scientist at Cake Financial, a consumer internet startup for retail investors. At Cake, he designed and implemented a portfolio recommender system and a Stock / Fund rating system. He has co-authored 5 patents, and several research papers. He holds a PhD in Chemical Physics from Princeton University and a MSc in Chemistry from the Indian Institute of Technology, New Delhi.

Case Study: Data Science at LinkedIn: Iterative, Big Data Analytics and You

Colin Shearer, WW Industry Solutions Leader, IBM

Colin ShearerColin Shearer is Worldwide Industry Solutions Leader for the SPSS brand at IBM. With a background in Computer Science and Artificial Intelligence at the University of Aberdeen, specializing in machine learning, he has been involved since 1984 in applying advanced software solutions to business problems. Previously with SD-Scicon and Quintec Systems, he was one of the founders of Integral Solutions Ltd. (ISL) in 1989, and was a pioneer of data mining in the early 1990s. He was creator and architect of ISL's award-winning Clementine system (now IBM SPSS Modeler) which introduced the visual workbench approach for data mining. Shearer's team at ISL tackled numerous successful data mining applications in areas including finance, broadcasting, market research and defense, and from 1996 to 1998 he jointly let the international initiative to create and publish the CRISP-DM methodology. In 1998 SPSS acquired ISL, and Shearer became responsible for a worldwide team of data mining consultants and for SPSS Advanced Data Mining Group. He subsequently held various positions at SPSS including global head of Product Marketing and Senior Vice President for Market Strategy. SPSS was acquired by IBM in October 2009, and Shearer moved to his current position in January 2010.

Diamond Sponsor Presentation: The Analytical Revolution

Expert Panel: Wise Enterprise: Best Practices for Managing Predictive Analytics

Eric Siegel, Ph.D., Program Chair, Predictive Analytics World

Eric Siegel, Ph.D.The president of Prediction Impact, Inc., Eric Siegel is an expert in predictive analytics and data mining and a former computer science professor at Columbia University, where he won the engineering school's award for teaching, including graduate-level courses in machine learning and intelligent systems - the academic terms for predictive analytics. After Columbia, Dr. Siegel co-founded two software companies for customer profiling and data mining, and then started Prediction Impact in 2003, providing predictive analytics services and training to mid-tier through Fortune 100 companies.

Dr. Siegel is the instructor of the acclaimed training program, Predictive Analytics for Business, Marketing and Web, and the online version, Predictive Analytics Applied. He has published over 20 papers and articles in data mining research and computer science education, has served on 10 conference program committees, has chaired a AAAI Symposium held at MIT, and is the founding chair of Predictive Analytics World.

Keynote: Persuasion by the Numbers: Optimize Marketing Influence by Predicting It

Marc A. Smith, Ph.D., Chief Social Scientist, Connected Action Consulting Group

Marc SmithMarc Smith is a sociologist specializing in the social organization of online communities and computer mediated interaction. Smith leads the Connected Action consulting group and lives and works in Silicon Valley, California. Smith co-founded the Social Media Research Foundation (, a non-profit devoted to open tools, data, and scholarship related to social media research.

Smith is the co-editor with Peter Kollock of Communities in Cyberspace (Routledge), a collection of essays exploring the ways identity; interaction and social order develop in online groups. Along with Derek Hansen and Ben Shneiderman, he is the co-author and editor of Analyzing Social Media Networks with NodeXL: Insights from a connected world, from Morgan-Kaufmann which is a guide to mapping connections created through computer-mediated interactions.

Smith received a B.S. in International Area Studies from Drexel University in Philadelphia in 1988, an M.Phil. in social theory from Cambridge University in 1990, and a Ph.D. in Sociology from UCLA in 2001. He is an affiliate faculty at the Department of Sociology at the University of Washington and the College of Information Studies at the University of Maryland. Smith is also a Distinguished Visiting Scholar at the Media-X Program at Stanford University.

Network Maps for End Users: Collect, Analyze, Visualize and Communicate Network Insights with Zero Coding

James Taylor, CEO, Decision Management Solutions

James TaylorJames Taylor is the CEO and Principal Consultant of Decision Management Solutions. James is the leading expert in decision management and decisioning technologies. James is passionate about using decisioning technologies like business rules and predictive analytics to help companies improve decision making and develop smarter and more agile processes and systems. James has over 20 years developing software and solutions for clients and has led Decision Management efforts for leading companies in insurance, banking, health management and telecommunications. He is also an active speaker, blogger (primarily at JTonEDM) and author.

James delivers webinars, workshops and sales training for clients and vendors. He is a keynote speaker at conferences such as the Business Rules Forum, Predictive Analytics World and IBM's Business Analytics Forum. James was co-author of "Smart (Enough) Systems" (Prentice Hall, 2007) with Neil Raden, and has contributed chapters on decision management and business rules to multiple books including "Applying Real-World BPM in an SAP Environment", "The Decision Model", "The Business Rules Revolution: Doing Business The Right Way" and "Business Intelligence Implementation: Issues and Perspectives". James is a faculty member of the International Institute for Analytics and has experience at FICO, PeopleSoft R&D, and Ernst & Young.

Full-day Workshop: Driving Enterprise Decisions with Business Analytics

Case Study: Next Generation Claims Systems

Amarnath Thombre, Vice President of Strategy & Analytics,

Amarnath ThombreAmarnath Thombre joined in 2008 and runs the strategy and analytics functions. In his current role, he is responsible for overall business strategy with major emphasis on driving growth through effective marketing and product innovation. He also oversees market research, pricing and analytics functions at, which includes developing industry leading search and matching algorithms for the core business. Amarnath is a strong advocate of the voice of the customer and believes that the best measure of success for is the number of customers that choose to leave – because they met someone special on the site.

Case Study: Search and Social: Intelligent Matching at

Wayne Thompson, Analytics Product Manager, SAS

Wayne ThompsonWayne Thompson's primary efforts focus on soliciting customer feedback concerning relevant products/solutions and relaying it to the SAS data mining development teams to extend SAS' leadership position in the data mining market. Employed at SAS since 1992, Thompson has served as a Statistical Services Specialist for the Education Division, where he developed and taught applied statistical courses, as well as collaborated on several data analysis projects for clients across industries. Thompson received his PhD and MS from the University of Tennessee in 1992 and 1987, respectively.

Expert Panel: Wise Enterprise: Best Practices for Managing Predictive Analytics

DL vonKleeck, Founder, vK Systems, Inc.

DL vonKleeckIn the early 80's D. L. von Kleeck ("Doc vK") co-authored a software product entitled Estimacs, and founded vK Systems for legal and accounting purposes. Estimacs was a market hit and eighteen months later was acquired by Computer Associates. vK Systems then became an Estimacs user support services provider. By the mid 90's vK Systems had "morphed" into an IT services organization that was fully into using predictive analytics and data mining to build the predictive enterprise. With that change in focus came the "renaming" of vK Systems to PredAlytics.

PredAlytics currently supplies Organization Empowerment Services, helping IT organizations become more inline with the Predictive Enterprise Model. This PAW/NY session will focus on one of our early project efforts where we combine traditional OR modeling with machine learning and fuzzy associative memories to meet a strategic information requirement.

Case Study: Major Litigation Strongly Supported by Fuzzy Reasoning

David Wiseman, Director of Business Development, Sybase, An SAP Company

David WisemanAs Director of Business Development at Sybase, an SAP company, David Wiseman is responsible for the development and deployment of Enterprise-level marketing programs and sales initiatives for Data Analytics solutions and the Telecom Industry sector.

During his twelve years at Sybase he has led North America technical sales, launched sales programs in support of several product lines, and managed the Sybase-IBM global partnership. His background includes federal sales at IBM and software development program management for the DoD.

Mr. Wiseman holds an MBA from the Kenan-Flagler Business School of the University of North Carolina at Chapel Hill and a B.S. in Computer Science from the University of Mary Washington.

Gold Sponsor Presentation: Big Data, Deep Analytics

Bob Wood, Director of Marketing Science, Cox Communications

Bob WoodBob Wood is currently serving as Director of Marketing Science for Cox Communications and manages the application of theory, analytics, research, and modeling to the marketing efforts in the company's Central Region. In addition to 11 years of marketing leadership experience in finance, consumer goods, and communications, he holds a BS/MS/MBA from Brigham Young University, an MS from Wichita State University, and is currently pursuing a PhD from Wichita State focusing on consumer choice and behavioral economics.

Case Study: What Happens Next? Automated Smart Demand Forecasting

Amjad Zaim, Ph.D., CEO & Co-Founder, Cognitro Analytics

Amjad ZainAmjad Zaim heads Cognitro Analytics, a NY-based firm that delivers Business Analytics & Business Intelligence solutions to companies in several verticals including banking, Insurance, telecom and government. Cognitro Analytics also provides in-house training programs in data mining and predictive analytics and has successfully organized several leading international seminars and workshops.

Amjad is also a consultant of data mining with over 20 years researching and developing advanced AI (Artificial Intelligence) techniques to solve real-life problems in finance, security and healthcare. He is an expert in financial risk modeling, image recognition as well as biometric iris identification. Prior to founding Cognitro Analytics, he co-founded several startups including Orion Analytics and ZaimNet. Amjad also served as a Professor of Computer Science at the University of Texas, where he established the VIB (Vision, Intelligence and Bioinformatics) research center, leading a team of scientists through many AI-related projects.

Amjad has written over 100 technical, scientific and business articles. He is a frequently invited guest speaker at conferences world-wide and has been on the chairing, organizing and review committees of several international IEEE conferences including the International Conference on Pattern Recognition. He is also a regular contributor to the Banking Executive magazine since 2009, discussing data mining applications in banking and finance. Amjad holds a PhD in Engineering from the University of Toledo, Ohio, an MBA from the University of Arlington, Texas, as well as two MSE's in both electrical and computer engineering from Wright State University in Dayton, Ohio.

Case Study: Value Proposition Segmentation (VPS) Method

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