Speakers Predictive Analytics World San Francisco 2013
 Dean Abbott

Dean Abbott

President

Abbott Analytics, Inc.

@deanabb

Dean Abbott is Co-Founder and Chief Data Scientist of Smarter Remarketer, Inc., and President of Abbott Analytics, Inc. in San Diego, California. Mr. Abbott is an internationally recognized data mining and predictive analytics expert with over two decades experience applying advanced data mining algorithms, data preparation techniques, and data visualization methods to real-world problems, including fraud detection, risk modeling, text mining, personality assessment, response modeling, survey analysis, planned giving, and predictive toxicology.

Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and co-author of IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a highly-regarded and popular speaker at Predictive Analytics and Data Mining conferences and meetups, and is on the Advisory Boards for the UC/Irvine Predictive Analytics Certificate as well as the UCSD Data Mining Certificate programs.

He has a B.S. in Mathematics of Computation from Rensselaer (1985) and a Master of Applied Mathematics from the University of Virginia (1987).

Case Study: My Five Predictive Analytics Pet Peeves
Workshops: Supercharging Prediction: Hands-On with Ensemble Models
Advanced Methods Hands-on: Predictive Modeling Techniques

 Gary Anderberg

Gary Anderberg

Practice Leader of Analytics & Outcomes

Broadspire

Gary received his BA from Pomona College and his MA and PhD from Stanford. After a stint as a college professor, he joined a consulting firm in management control and accounting systems. He later joined a regional and in 1986 started his own company providing group benefit plans. After selling his TPA, he moved to The Travelers to develop managed care services for workers' compensation.

Gary went to Zenith National in 1994 to design the SinglePoint program. He joined Prudential two years later to develop Prudential's managed care services for workers' compensation and later moved to Prudential Group Insurance to develop an Integrated Disability Management product. He retired from Prudential and joined Broadspire in 2007 in Data Analytics.

Gary has published on disability, workers' compensation, and benefit integration. In addition, Gary writes mystery novels and screenplays and belongs to the Mystery Writers of America.

Case Study: To Sue or Not to Sue: Predicting Litigation Risk

 Guha  Athreya

Guha Athreya

Sr. Manager, Analytics

AbsolutData

• Responsible for delivery of analytics service and solutions
• Over 10 years of analytics experience across various verticals including financial services, CPG and hospitality
• Expertise in applications of analytics to enhance marketing effectiveness, risk management, CRM & consumer insights processes
• Responsible for overall service delivery across multiple client engagements
• Post Graduate degree in marketing sciences from the Department of Management Studies at IIT Madras

Gold Sponsor Presentation: Application of innovative analyticsin business

 Alok Bhanot

Alok Bhanot

Founder & CEO

Inkiru, Inc

With over 20 years of experience in eCommerce and Payments, Alok's latest venture Inkiru, Inc. tackles transactional analytics challenges for merchants and financial institutions with a predictive intelligence platform. His prior experience includes tenures across the entire ecommerce value chain. He provided technical leadership in architecture and implementation of key services on the Acquirer System for Credit & Debit Transactions at Visa, Built a world-class architecture function that supported and scaled the eBay Marketplace website, Created and led a corporate function focused on defining the technology vision for eBay and creating an interoperable architecture across the various business units, Manage Global Engineering design and development teams that delivered to Fraud loss objectives at PayPal. Alok is an active angel investor in Silicon Valley eCommerce and Payments startups.

Gold Sponsor Presentation: The Future of Commerce is Here

 Bob  Biermann

Bob Biermann

Senior Econometrician

Selective Insurance Group

For the past 5 years, Bob Biermann has served as the Senior Econometrician within the actuarial department for the Selective Insurance Group. His focus in claims modeling has centered on the identification of fraudulent claims and missed subrogation opportunities within Selective's personal and commercial lines, including Personal Auto and Workers Comp. Bob's responsibilities also include Text Mining, Selective's Enterprise Modeling Environment, and providing technical support to Selective's BI group. Formerly, Bob spent 10 years providing analytical, predictive modeling and enterprise risk management consulting to a wide variety of clients across many industries, including GM, ON Star, BOA, Xerox, and Master Card. Bob also taught for 20 years at the Rochester Institute of Technology, in both the CLA's Economics department and COB's MBA program. Bob's academic work focused on dealing with selectivity biases and censored data in predictive modeling.

Case Study: Strategies and Considerations for Fraud Detection in Insurance Claims

 KC Bradley

KC Bradley

Leader, Strategic Workforce Planning

ConAgra Foods, Inc.

Bio is forthcoming!

Case Study: Aging of the Baby Boomer Generation and the Upcoming Talent Tsunami

 Sameer Chopra

Sameer Chopra

Group Vice President of Advanced Analytics

Orbitz Worldwide

Sameer Chopra is Group Vice President of Advanced Analytics at Orbitz Worldwide, Inc., a leading global online travel company. He has almost 20 years of experience in applying data mining and predictive analytics across various business domains at both Fortune 500 firms and startups.

Before joining Orbitz, Sameer was in the senior leadership team of Intuit's Small Business Group (SBG) where he led Marketing Analytics and Web testing. Prior to Intuit, Sameer was with eBay for many years where he served as Director of Analytics - working across different areas such as Internet Marketing, Fraud Detection, Global Site Experimentation etc. Sameer holds a Master's degree in Operations Research from the Massachusetts Institute of Technology (MIT). He holds an undergraduate degree (Summa Cum Laude) in Mathematics with a minor in Computer Science from Allegheny College, where he graduated valedictorian.

Case Study: Delivering on Expectations: Core Competencies for Data Scientists

Dr. John Elder

Dr. John Elder

CEO & Founder

Elder Research, Inc.

@johnelder4

Dr. John Elder heads the US's largest and most experienced data mining consulting team -- with offices in Charlottesville Virginia, Washington DC, and Baltimore Maryland. Founded in 1995, Elder Research (www.datamininglab.com) focuses on investment, commercial and security applications of advanced analytics, including text mining, credit scoring, image recognition, production optimization, cross-selling, drug efficacy, market timing, and fraud detection.

John earned Engineering degrees from Rice University and the University of Virginia, where he's an adjunct professor teaching Optimization or Data Mining. Prior to 19 years at ERI, he spent 5 years in aerospace defense consulting, 4 heading research at an investment management firm, and 2 in Rice's Computational & Applied Mathematics department.

Dr. Elder has authored innovative data mining tools, is a frequent keynote speaker, and has chaired international Analytics conferences. John was honored to serve for 5 years on a panel appointed by President Bush 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, was published in February 2010, and his book on Practical Text Mining, with Andrew Fast and 4 others, won the 2012 PROSE Award for top book in Computing and Information Sciences.

Special Plenary Session: General Lessons We Can Learn from Blackbox Trading

 Josh  Ellis

Josh Ellis

Director, Data Analytics

Deloitte Financial Advisory Services LLP

Josh Ellis is a Director in the Analytics Practice within Deloitte Financial Advisory Services LLP. He has over 12 years specializing in leveraging technology and analytics in the Fraud Investigation and Corruption arena. He worked and operated for 8 years in The Eastern Bloc and Former Soviet countries combatting Fraud in manufacturing, retail and the telecommunications sectors, before serving on the Board at the UK’s Serious Fraud Office for two years. He holds a 1st Class Honors Bachelor of Japanese and Linguistics, from the School of Oriental and African Studies, University of London.

Platinum Sponsor Presentation: Predicting a fraudulent payment - is it possible?

 Eric Feinberg

Eric Feinberg

Senior Director of Mobile, Media and Entertainment

Foresee

As Senior Director of Mobile, Media & Entertainment, Eric provides leadership to ForeSee's mobile solutions as well as solutions related to the media and entertainment industries. He is responsible for working with product, delivery, sales, and marketing teams to ensure that ForeSee continues to bring innovation and operational excellence to its mobile offerings. Since joining ForeSee in 2004, Eric has been contributing to the strategic growth of the organization. He brings 15 years of customer-focused experience to the team, and is a frequent presenter at conferences in the U.S. and UK.

Eric is currently on the Board of Directors for the Digital Analytics Association (DAA), formerly the Web Analytics Association, and serves as an instructor for various trade groups on the importance and application of attitudinal analytics. Previously, he has held positions that include web analyst, multichannel strategy consultant, usability specialist and focus group moderator. His goal is to best understand and motivate multi-channel consumers on behalf of his clients.

Eric is a graduate of the University of Michigan.

Diamond Sponsor Presentation: Measure Right, Manage Forward, Make a Difference
Expert Panel: Big Data for Predictive Analytics

 Frank Fiorille

Frank Fiorille

Sr. Director of Risk Management

Paychex, Inc.

@ffiorille

Frank is the Sr. Director of Risk Management at Paychex, a leading provider of payroll, human resource, and benefits outsourcing solutions for small- to medium-sized businesses. The company has more than 100 offices and serves approximately 564,000 payroll clients and 12 million employees nationwide. 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.
He was named as one of the 100 Most Influential People in Finance-Treasury & Risk Magazine in 2008 and 2009. Frank‘s team received 11 individual Alexander Hamilton Awards over the past 6 years in excellence in Risk Management, more than any other company over that time frame.

Before joining Paychex he spent four years with PNC Financial in Pittsburgh, Pennsylvania working in their Corporate Credit Policy area overseeing various commercial and consumer risk units and reporting directly to the Chief Credit Officer of the company. Prior to his work with PNC, he spent twelve years with Citigroup in New York holding various risk management and credit roles within their U.S consumer bank. He is an also graduate of the inaugural 2007 class at the Wharton Business School at the University of Pennsylvania advanced risk management program.

He is also credited for leading very successful projects to build the first risk and retention models in both the educational lending and payroll outsourcing industries. He has also spent time working internationally by teaching and facilitating strategic risk management courses for senior level executives.

Case Study: Customer Retention: Pulling the Needle from the Haystack

 John Foreman

John Foreman

Chief Data Scientist

MailChimp.com

John Foreman is the Chief Data Scientist at MailChimp.com, an email marketing service. John's main focus is MailChimp's Email Genome Project, which analyzes millions of email lists - and hundreds of millions of email addresses - to find stories and trends in the data. This research helps MailChimp understand the email ecosystem, prevent abuse, and create better experiences for everyone.

Case Study: Monkeys & Math: How MailChimp Catches Bad Guy

 Rayid Ghani

Rayid Ghani

Chief Data Scientist

Obama for America

Rayid Ghani was the Chief Scientist at Obama for America 2012 campaign focusing on analytics, technology, and data. His work focused on improving different functions of the campaign including fundraising, volunteer, and voter targeting and mobilization using analytics, social media, and machine learning. Before joining the campaign, Rayid was a Senior Research Scientist and Director of Analytics research at Accenture Labs where he led a technology research team focused on applied R&D in analytics, machine learning, and data mining for large-scale & emerging business problems in various industries including healthcare, retail & CPG, manufacturing, intelligence, and financial services. In addition, Rayid serves as an adviser to several start-ups in Analytics, is an active organizer of and participant in academic and industry analytics conferences, and publishes regularly in machine learning and data mining conferences and journals.


Keynote: Analytics and the Presidential Elections

 Anthony Goldbloom

Anthony Goldbloom

Founder & CEO

Kaggle

Anthony Goldbloom is the founder and CEO of Kaggle, the leading platform for data prediction competitions that allows organizations to post their data and have it scrutinized by the world's best data scientists. In 2011, Forbes Magazine cited Anthony as one of the 30 under 30 in technology and Fast Company featured him as one of the innovative thinkers who are changing the future of business.

Keynote: The $3m Heritage Health Prize: Results and Conclusions

 Sergo Grigalashvili

Sergo Grigalashvili

VP Architecture, Analytics, GSR

Crawford & Company

Sergo leads global efforts in enterprise technology architecture, analytics, and systems road mapping at Crawford & Company. His responsibilities include providing direction and leadership for development of business intelligence technology and statistical, data mining, and predictive analytic models for claim operations and client stewardship. Sergo has 16 years of technology industry experience; he has proven success in increasing maturity of enterprise technology architecture and in wide adoption of advanced analytics and business intelligence at organizations of various sizes; he earned a master's degree in management science and a bachelor's degree in applied mathematics and computer science.

Case Study: To Sue or Not to Sue: Predicting Litigation Risk
Case Study: Using Predictive Analytics for Strategic Planning at Crawford GTS

 Bangalore Gunashakar

Bangalore Gunashakar

Senior Technical Consultant

Broadspire

Bangalore Gunashakar is the Senior Technical Consultant of Broadspire - a Crawford & Company, the world's largest independent claims management provider servicing the insurance industry and self-insured organizations through a global network of more than 700 locations in 63 countries. In this role he has architectural, development, implementation responsibility for e-Triage application. He has been involved with e-Triage since its acquisition by Crawford over four years ago and has been the IT evangelist of the e-Triage product.

Prior to his current position, Bangalore served as IT Director, at Broadspire and has been promoted to positions of increasing responsibility, from Senior Software Engineer through IT Director. Since 1993 he has been delivering sound IT solutions to achieve strategic business goals. He has spent last 10 years in Insurance industry, providing IT leadership and delivering numerous strategic Projects and Products. He's a 'Certified Document Imaging Architect' and holds the 'Project Management Professional' certification from Project Management Institute since 2005.

Case Study: To Sue or Not to Sue: Predicting Litigation Risk

 Shawn Hushman

Shawn Hushman

Vice President of Advanced Analytics

Kelley Blue Book

Shawn Hushman is the vice president of advanced analytics at Kelley Blue Book. In this role, Hushman is charged with enterprise-wide predictive and Web analytics. He also oversees the development of Kelley Blue Book's valuation models and overall analytics methodology.

Since joining the Kelley Blue Book team, Hushman has had a number of accomplishments in pricing theory and optimization. Hushman developed multi-dimensional pricing simulation tools, which optimized the relationship between time on market and transaction volume. He also was instrumental in developing a negotiation algorithm, called 'virtual negotiation', which utilizes consumer and competitive cross-elasticities to maximize profits by individual customer transactions.

Prior to joining Kelley Blue Book, Hushman worked in research and analytics at several companies, including The Clorox Company, HSBC, The Ryness Company and Sempra Energy.

Shawn holds a Master's degree in Economics with a field specialization in Econometrics. He also has completed postgraduate work in Applied Econometrics.

Case Study: Driving Search Engine Marketing with Deep Analytics

 Jean-Paul  Isson

Jean-Paul Isson

Vice President of Global BI & Predictive Analytics

Monster Worldwide

Jean-Paul Isson recently co-authored a 2012 book : Win With Advanced Business Analytics : Creating Business Value from your Data. He is an internationally recognized speaker and an expert in advanced business analytics. Mr. Isson is global vice president of business intelligence and predictive analytics at Monster Worldwide, Inc..Where he has built his global business intelligence team from the ground up and successfully conceived and implemented global customer scoring/segmentation, predictive modeling, and Web mining applications building across North America, Europe, and Asia-Pacific. Prior to joining Monster, Isson led the global customer behavior modeling team at Rogers Wireless. He holds a master's degree in mathematics and applied statistics from the University of Paris 6 in France. He is a guest lectured at MBA programs including McGill Concordia Universities.

Isson has been a speaker for IDC Forbes TDWI (The Data Warehousing Institute), SAS® data mining conferences, the Premier Business Leadership Series, Measure Up, Predictive Analytics World, BusinessAnalyticsNews.com, IT World Canada, IT Business, 1to1 Media, IQCP, eMetrics Marketing Optimization Summit/SMX, and at The Institute for International Research other SAS and IDC events.
He has over eighteen years of experience in advanced business analytics focusing on customer behavior modeling scoring and market segmentation.

He has several articles related to his successful implementation of BI solutions and he gave interviews on business news magazines and TV to cover Business Intelligence and Monster Employment Index.

Case Study: Win With Advanced Analytics

 Madhu Iyer

Madhu Iyer

Marketing Statistician

Intuit, Inc.

Madhu Iyer is a Marketing Statistician at Intuit's Data Sciences and Analytics team. She consults with marketers across the company to provide unique insights using the collective data of 50 million customers. Madhu has a background in research, and consulting. Prior to Intuit, she was a Scientist at Exponent working extensively on the application of statistical methods to business environments. Her work covered issues related to the evaluation of passenger vehicle field performance, multivariate analysis, survival analysis, design of experiments, and analysis of survey data.

Case Study: Uplift Modeling - Direct Marketing Case Studies

 Anil  Kaul

Anil Kaul

CEO

AbsolutData

With over 16 years of work experience, Anil Kaul has emerged as a prominent figure in the field of BigData, Predictive Analytics and Market Research. His expertise areas range from marketing, strategic consulting and quantitative modeling. He has gained valuable experience in consulting with many Fortune 500 companies. He spent four years with McKinsey & Co. in New York and Chicago, thereafter he joined Anubis Inc., an innovative data warehousing start-up as a part of the four-member top management team. Anil led the repositioning of Anubis from a pure technology play to an e-marketing analysis company by developing a cutting-edge e-analysis software product. He was also involved in an innovative technology start ups in Silicon Valley.

In 2001, Anil founded AbsolutData, a leading global Analytics and Market research company with offices in US and India, serving Fortune 1000 clients all over the world and more than 300 employees. He is not just the CEO but also a guiding force at AbsolutData. In addition to providing overall leadership to AbsolutData Research and Analytics, Anil is also engaged across the client community.

He has published many articles in leading management and academic journals such as McKinsey Quarterly, Marketing Science, Journal of Marketing Research and International Journal of Research in Marketing. One of his papers was nominated for "Paul Green Award" by the American Marketing Association. He has also addressed many gatherings at McKinsey & Co., Dartmouth College, Cornell University, Yale University, Columbia University, New York University as well as at IIFT, IMT Ghaziabad and IIM Lucknow.

A driven individual, Anil is a bit of a workaholic, but he is very passionate about hiking and trekking. He recently hiked Mount Whitney, the highest peak in continental United States, in one day. Hiking to the base camp for Mount Everest is his plan for next year.

Anil completed his PhD in Marketing and MS from Cornell University after pursuing MBA from University of Delhi.

Expert Panel: Big Data for Predictive Analytics

 Jaya Kolhatkar

Jaya Kolhatkar

CAO

Inkiru, Inc

A Predictive Analytics leader who has worked in industries like insurance, banking, online retail and payments, Jaya has been using predictive analytics for the past two decades to solve business problems ranging from marketing segmentation and targeting to credit risk and fraud. Jaya is currently the Chief Product Officer and co-founder of Inkiru, a technology company building the Inkiru Predictive Intelligence™ Platform to allow data scientists to build and deploy predictive algorithms that can influence customer experience in real-time.

Prior to co-founding Inkiru, Jaya spent four years at eBay/PayPal developing infrastructure to facilitate real-time linking of customers across eBay properties to enhance customer experience. In the three years prior to this, Jaya was responsible for managing Risk Analytics at PayPal. Her other roles include five years at Amazon.com, and prior to that, Jaya spent several years at Bank One working in the Credit Policy organization.

Gold Sponsor Presentation: Applying Predictive Analytics in Real-time

 Natalie Kortum

Natalie Kortum

Marketing Decision Scientist

Dell

Natalie Kortum is a Decision Sciences Manager at Dell in Investment Optimization. She works in measuring and optimizing long-term impacts of difficult to measure influences such as brand campaigns, corporate social responsibility, product quality and customer service offerings and has recently received a patent for her cutting-edge modeling design. Recently, she has created an innovative method of modeling brand impacts and has expanded her scope outside of marketing to model total quality management projects and services initiatives.

In previous roles, she has worked in pricing analysis, promo management, web analytics, financial planning, and remote employee management.

She received her undergrad in Mathematics from Texas A&M and her MBA in Marketing and Financial Consulting from Southern Methodist University.

www.marketingmathgirl.com

Case Study: The Illusive Brand: How to Measure Brand and the Communications Focused On It

 David  Kreutter

David Kreutter

Vice President Business Analytics and Insights

Pfizer

David Kreutter is Vice President, Business Analytics and Insights with accountability for developing business insights, measuring execution effectiveness, and leading innovation and continuous improvement across the worldwide biopharmaceutical business. David joined Pfizer in 1986 as a Research Scientist and has held positions of increasing scientific responsibility for Diabetes and Obesity research. He authored more than 50 articles and abstracts.

In 2003, David was appointed Vice President of the Portfolio and Decision Analysis Group with responsibility for facilitating Pfizer's management of the R&D and drug portfolios. In 2007 David was appointed Vice President, U.S. Commercial Operations with accountability for enabling Pfizer's US sales and marketing strategies.

David received an M.S. and Ph.D. in Biochemistry from Hahnemann University and did postdoctoral work at Yale University. David is a member of IBM's Business Analytics and Optimization Advisory Council and a director on the board of VPSN.

Lunch & Learn: Industrialization of Analytics - Enjoy the Journey

 Pankaj Kulshreshtha

Pankaj Kulshreshtha

Business Leader - Analytics & Research

Genpact

Pankaj is a Mechanical Engineer from VNIT, Nagpur, and holds a Doctorate degree in Management Sciences from the Indian Institute of Management, Bangalore. Pankaj has over 15 years of experience in Analytics, Research and Risk Management. He joined Genpact in 1998 and was one of the first few people who started offshore Analytics teams in India.

He helped various GE businesses set up the analytics teams till 2005. Pankaj then moved to GE Money UK where he was the Chief Risk Officer for the Loans business and led risk management for various portfolios. He rejoined Genpact in 2008.

Currently, Pankaj leads the Analytics & Research center of excellence for Genpact and is chartered to deliver significant business impact to our customers through data driven strategies.

Lunch & Learn: Industrialization of Analytics - Enjoy the Journey

 Aaron Lai

Aaron Lai

Senior Manager of Marketing Analytics

Blue Shield of California

Aaron Lai, CFA, is the Senior Manager of Marketing Analytics of Blue Shield of California in San Francisco and formerly a VP and Senior Quantitative Research Associate of the Bank of America. He has over 15 years experience in consumer analytics and database marketing for financial institutions and has several patents currently pending. He has published in academic journals and professional magazines and has presented in international data-mining conferences. He also served on the CFA examination curriculum committee and is on the CFA Magazine Advisory committee. He received a B.Sc.(Hons) in Finance (City University of Hong Kong), a B.Sc.(Econ)(Hons) in Management Studies (University of London), a MBA (Purdue University), and a M.Sc. in Sociology (University of Oxford). In addition to his duty as the President of the Oxford University Society Northern California Branch, he is also pursuing a M.Sc. in Evidence-based Healthcare from Oxford University.

Case Study: No Country for Fat Men - Investigating Obesity with Visual Analytics

 Satish  Lalchand

Satish Lalchand

Director

Deloitte Financial Advisory Services LLP

Satish Lalchand is a Director at Deloitte Financial Advisory Services LLP, specializing in advanced analytics & big data , business rules development and modeling. His areas of expertise includes: financial investigations, Enterprise Fraud Management (EFM) and anti-money laundering investigations. He has a master's degree in computer information systems and a bachelor's degree in economics.

Expert Panel: Big Data for Predictive Analytics

 Anne-Elise Lansdown

Anne-Elise Lansdown

Marketing Manager

Minted

Anne-Elise Lansdown is a Marketing Manager at Minted.com. She is responsible for direct-to-consumer marketing, with a focus on email, catalog and direct mail. Minted is a VC-backed social commerce start-up that crowdsources and sells unique paper goods designed by independent graphic designers.

Prior to Minted, she was a consultant for the Boston Consulting Group in Chicago, IL and Amsterdam, The Netherlands. Ms. Lansdown earned an MBA from the Haas School of Business at UC Berkeley and a Bachelor's degree in Economics and French from Vanderbilt University.

Case Study: Mining Customer Behavior for Targeted Marketing

 Eric Legrand

Eric Legrand

Data Scientist

Wells Fargo

Eric Legrand is a Data Scientist at Wells Fargo where he focuses on big data analytics. Eric's experience spans financial services, food service and technology start-ups. Eric studied mathematics and philosophy at Wheaton College, IL, received a certificate in Management Science and Engineering at Stanford, and is currently working on an MS in Predictive Analytics at Northwestern University.

Case Study: Data Visualization Design Using Shneiderman's Mantra: Overview First, Zoom and Filter, Then Details-On-Demand

 Keshav Loomba

Keshav Loomba

Manager - Global Analytics Finance

Hewlett-Packard

Keshav is currently the Manager- Global Analytics Finance at Hewlett Packard. Overall, he has 9 years of experience and close to 2 years in predictive modeling in the areas of Finance - Structure Finance, Corporate Finance, Securitization and Investment Banking. He has been deeply involved in the entire deal process, i.e., conducted due diligence of institutions, selected appropriate receivables to minimize risk, modeled cash flows, fund raising, lead meetings with investors and finalization of legal documents. Prior to joining HP, he graduated with an MBA from Hult International Business School.

Case Study: An Innovative Approach to Hedge Against Macroeconomic Uncertainties Affecting Businesses

 Wenqing  Lu

Wenqing Lu

Director, Statistical Modeling and Analytics

Orbitz Worldwide

Wenqing Lu has a Ph.D. in statistics from University of Wisconsin-Madison and B.S. in Operations Research from Fudan University. Dr. Lu is leading an Advanced Analytics team at Orbitz Worldwide - building statistical models for online marketing.

Prior to Orbitz, he was at eBay working on website testing and optimization in eBay's global Experimentation group. He started his career as a statistician in the financial industry and has over 13 years of experience in the area of predictive modeling & data science.

Case Study: Delivering on Expectations: Core Competencies for Data Scientists

 Maria Lupetini

Maria Lupetini

Engineering Advanced Analytics & Asset Management

Qualcomm Technologies Inc.

Ms. Lupetini's career spans a broad range predictive analytics and optimization implementations for many Fortune 500 companies. She has tackled challenges in the internet, marketing, high tech, and healthcare domains. Currently, she manages the Engineering Advanced Analytics team in Qualcomm Technologies Inc. which implements models to enhance semi-conductor chip characteristics and improve engineering management decision making. In addition, she manages a team in which optimizes the portfolio of the high dollar software assets used to design semi-conductor chips for cell phones and tablets. Maria has patents pending for pattern recognition inventions. Prior to joining Qualcomm, Ms. Lupetini was President and founder of InfoMaker Inc. a consulting firm specializing in Advanced Analytics. During her tenure, InfoMaker was recognized an INC 500 company in 1999. Ms. Lupetini earned an MBA at the University of Chicago, and a Masters of Science degree in Operations Research from the University of Minnesota, Institute of Technology.

case Study: M.A.R.S. - an Underused Modeling Method

 Jyotirmay  Nag

Jyotirmay Nag

Business Analyst of RnD Analytics

Hewlett-Packard

Jyotirmay Nag is currently Business Analyst of RnD Analytics at Hewlett-Packard. He has 1.5 years of experience in Data Mining, Predictive Modeling in the areas of HR, Marketing, Sales, Finance, etc. Prior to Hewlett-Packard, he finished his Master of Statistics from the Indian Institute of Technology, Kanpur.

Case Study: A Generic Uplift Modeling Framework to Calculate ROI - Application in Promotion Effectiveness

 Edward Nazarko

Edward Nazarko

Client Technical Advisor

IBM

Ed Nazarko is an IBM Client Technical Advisor who works with healthcare payers on applying innovative technologies to solve customer problems, and industry problems. His focus is on combining technology innovation with customer-focused business and operations strategy. Recent projects have included performance engineering of large systems, application of combinatorial test design to optimization of ICD-10 test cases, creation of benefit rule abstraction and change validation tools, and traditional system design and build. As a consultant he has worked with pharmaceutical, device, healthcare delivery, and health insurers on a wide range of operational and strategic technology issues. He has also been in startups in life sciences, e-business and research. Ed has a BA from Reed College in Portland OR and an MBA from Boston University.

Keynote: Putting IBM Watson to Work

 Avinash  Parthasarathy

Avinash Parthasarathy

Analytics Consultant in Global Analytics

Hewlett-Packard

Avinash Parthasarathy, Analytics Consultant in Global Analytics, HP, holds a masters in business analytics and 3 years of professional work experience in data processing and customer analytics. Avinash is a consultant responsible for providing analytical support to various Marketing and CRM projects from HP's Channel CRM program and Snapfish business. His main function includes applying Statistical & Predictive Modeling techniques, Customer Segmentation techniques, and Campaign analytics to enable informed decision-making and effective marketing strategies.

Case Study: Predicting Next Most likely Supplies Purchase Using Multinomial Logit

 Jim  Porzak

Jim Porzak

Senior Director, Business Intelligence

Minted.com

Jim Porzak is the Senior Director, Business Intelligence at Minted.com. Previously, he was the Senior Data Scientist at Viadeo.com - the international professional social network, the Senior Director of Marketing Analytics at Ancestry.com and VP Marketing Analytics at LoyaltyMatrix. Subscription survival modeling has been part of Jim's standard tool box since LoyaltyMatrix where he applied for many clients like The Los Angeles Times, 24 Hour Fitness, and Playboy online.

Jim is a well-known presenter at customer intelligence and applied statistical conferences here and in Europe. He is very active in the open-source R community and is co-founder of the San Francisco Bay Area R User Group.

Case Study: Mining Customer Behavior for Targeted Marketing

 Chris Pouliot

Chris Pouliot

Director, Algorithms & Analytics

Netflix

Chris created, hired, and leads a team of Data Scientists whose charter is to help add statistical firepower to some of Netflix’s more complex analyses (for example demand prediction for how much a movie will be watched to help Netflix's content buyers understand the value of a movie), and assist in algorithmic development for better personalization (for example movie similars, user clustering, and movie ranking). Chris is also an adviser to venture funded startups, including Bonobos, Plum District, and Mahoot.

Case Study: Building a Data Science Team from Scratch

 Raymond  Reno

Raymond Reno

Senior Vice President, Marketing Science Group

Market Strategies International

Raymond Reno is a senior vice president in Market Strategies International's Marketing Sciences Group. Ray specializes in the design of consumer segmentations and market frameworks, assessment of the differentiation of brand equities and the identification and quantification of potential brand value propositions. He has applied these techniques across numerous industries including telecommunications, financial services, insurance, pharmaceutical and healthcare. Prior to joining Market Strategies, Ray served the Chicago-based consulting firms of McKinsey & Company and Envision as a marketing/branding expert within the pharmaceutical, insurance and service industries.

Case Study: Multicollinearity and Sparse Data in Key Driver Analysis: Challenges and Solutions

 Greta Roberts

Greta Roberts

Co-Founder & CEO

Talent Analytics, Corp.

@GretaRoberts

As Co-founder and CEO, Greta is responsible for charting a predictive analytics approach and software platform to solving employee challenges. In addition to her role as CEO, she was elected as The Program Chair for Predictive Analytics World for Workforce and continues as Faculty at the International Institute for Analytics.

Greta brings a unique perspective to solving complex, long-term challenges. This is never more evident in the firm's early direction to use analytics to solve "line of business" challenges instead of "HR" challenges and modeling business outcomes instead of HR outcomes. This approach has lead Talent Analytics recognized leader in predicting employee performance and attrition. Talent Analytics focuses their work on high value, high turnover positions like Sales positions, Bank Tellers, Insurance Agents, Customer Service Reps and Data Scientists; all areas where reduced attrition or increased performance can yield $ millions in bottom line savings or income.

Greta is a sought-out international thought leader, presenter, and author. She has been a multi-year presenter at Predictive Analytics World (PAW), keynoting in 2014 at PAW Toronto, the ADMA Global Forum in Sydney, Australia, the INFORMS Analytics Conference SAP Sapphire. In addition to speaking, she is often quoted in the press in a variety of influential business publications.

Case Study: Using Analytics to Build Your Analytics Bench: Announcing 2012 Analytics Professionals Study Results

 Sara  Roberts

Sara Roberts

Team Leader of Advanced Analytics

ConAgra Foods

Sara Roberts is the Team Leader of Advanced Analytics at ConAgra Foods. Her team assists the HR community in making data-driven decisions by applying appropriate research methods and advanced statistical analyses, including data mining and predictive modeling, to organizational questions. Sara holds a Ph.D. in Industrial/Organizational Psychology from the University of Nebraska at Omaha, and is certified in Relational Database Fundamentals and Structured Query Language (SQL) by the Nebraska Business Development Center. Sara also serves as an adjunct faculty member in the College of Business Administration at the University of Nebraska at Omaha. Sara resides in Omaha, Nebraska with her husband, Colin, daughter, Emma, and two rescue dogs, Ike and Rascal.

Case Study: Aging of the Baby Boomer Generation and the Upcoming Talent Tsunami

 Inna  Shapotina

Inna Shapotina

Senior Technical Data Analyst, Data Sciences & Analytics

Intuit, Inc.

Inna Shapotina is a Senior Technical Data Analyst at Intuit's Data Sciences and Analytics team. She works across the different functions at Intuit to identify metrics and analyze data that drive the business. Inna has an extensive background in data analysis in various fields. Prior to joining Intuit, among other roles, she worked in a non-profit research organization, clinical trial company, financial and accounting firms.

Case Study: Uplift Modeling - Direct Marketing Case Studies

 Rose  Shattuck

Rose Shattuck

Senior Director, Marketing

Minted

Rose Shattuck is the Senior Director of Marketing at Minted.com, where she is responsible for overseeing direct marketing to drive sales and increase customer lifetime value. Minted (www.minted.com) is a VC-backed social commerce startup that crowdsources and sells unique paper goods designed by independent graphic designers.

Case Study: Mining Customer Behavior for Targeted Marketing

 Wenlei Shi

Wenlei Shi

Manager, Statistical Analysis

Scotiabank

Wenlei Shi has more than 15 years of financial services experience. She specializes in data integration, data mining and statistical modeling. With Scotiabank since 2006, she is responsible for applying the data mining techiques and statistical analysis to develop forecases, predictive models and other data mining projects to support various of business lines. She has extensive experience in all aspects of data mining and has solved many challenges in different fields both inside and outside of the bank. Wenlei has Masters degree in Statistics from University of Toronto and bachelors degree in Computer Science from HUST (Huazhong University of Science and Technology).

Case Study: Mortgage Liquidation Model Building and Application

 Eric Siegel, Ph.D.

Eric Siegel, Ph.D.

Founding Chair

Predictive Analytics World

The president of Prediction Impact, Inc., author of the acclaimed book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, Executive Editor of the Predictive Analytics Times, and the founder of Predictive Analytics World and Text Analytics World, 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 online training program, Predictive Analytics Applied. He has published over 20 papers and articles in data mining research and computer science education and has served on 10 conference program committees.

Conference Chair Welcome Remarks

 Ashish Kumar Singh

Ashish Kumar Singh

Global Analytics, Strategic Consulting and Business Planning

Hewlett-Packard

Ashish is an analytics professional with 2 years of experience in the area of Business Analytics, Strategic Consulting and Business Planning. Currently he is part of strategy team at Global Analytics, Hewlett Packard. He graduated with an MBA from National Institute of Technology, Trichy.

Case Study: An Innovative Approach to Hedge Against Macroeconomic Uncertainties Affecting Businesses

 Marc Smith

Marc Smith

Chief Social Scientist

Connected Action Consulting Group

Dr. Marc A. Smith is a sociologist specializing in the social organization of online communities and computer mediated interaction. Smith leads the Connected Action consulting group. Smith co-founded the Social Media Research Foundation (http://www.smrfoundation.org/), a non-profit devoted to open tools, data, and scholarship related to social media research. He contributes to the open and free NodeXL project (http://nodexl.codeplex.com) that adds social network analysis features to the familiar Excel spreadsheet. NodeXL enables social network analysis of email, Twitter, Flickr, WWW, Facebook and other network data sets. 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 has published research on social media extensively, providing a map to the landscape of connected communities on the Internet.

Case Study: Mapping Social Media to Predict Influence and Measure Propagation

 Srinidhi Srinivasan

Srinidhi Srinivasan

Analytics Consultant

Hewlett-Packard

Dr. Srinidhi is currently an Analytics Consultant at Hewlett-Packard R&D. He has more than 1.5 years of experience in predictive modeling in the areas of Finance, Social Media and Marketing. Prior to joining HP, he finished his MS and PhD in Management from the Indian Institute of Science, Bangalore.

Case Study: An Innovative Approach to Hedge Against Macroeconomic Uncertainties Affecting Businesses

 Eva Tsai

Eva Tsai

Senior Director of Marketing Operations

Citrix

As Senior Director of Marketing Operations at Citrix, Eva manages global marketing systems to enable demand generation and drives analytics to predict and measure buyer behaviour. Eva has more than 15 years of experience in managing enterprise marketing and sales systems. Eva joined Citrix from Fiserv, where she served as the consulting director overseeing strategic implementations for top 10 US banks. Before Fiserv, Eva held director roles at BEA Systems, which was acquired by Oracle in 2008. Her responsibilities included ownership of marketing web properties and automation solutions, management of company-wide IT initiatives, and delivery of a patented web application. Prior to BEA, Eva held strategic roles at BroadVision and Oracle, launching enterprise websites for Fortune 500 companies. Eva holds a BS and an MS in Computer Science, and a Minor in Economics from Massachusetts Institute of Technology.

Case Study: How Predictive Analytics Changes the Game by Front-Ending the Funnel

 Noe Tuason

Noe Tuason

Customer Research Manager

California State Automobile Association (CSAA)

Noe is currently the Customer Research Manager for insurance at the California State Automobile Association (CSAA). Prior to joining CSAA, Noe worked for Deloitte Consulting as a project lead at the Advanced Quantitative Services Group and for the Allstate Research and Planning Center data mining and modeling Groups as a senior researcher. He has published papers on research methods in various journals and presented in conferences. Related to the current topic, Noe presented a paper at the Advanced Research Techniques Forum comparing the use of logistic regression, decision trees, and hybrid combination of the two on predicting short-term defection. He also taught research methods at the Cal State University East Bay and was a research co-investigator at the UCSF Comprehensive Cancer Center.

Case Study: Multicollinearity and Sparse Data in Key Driver Analysis: Challenges and Solutions

Dr. Andries Willemse

Dr. Andries Willemse

SVP, Crawford Global Technical Services

Crawford & Company

After 15 years as an accountant and management consultant, Willemse joined Crawford & Company in 1998 as a senior adjuster in South Africa, where he handled property, fidelity guarantee, business interruption and rail transportation claims, including international assignments. In 2004, he was promoted to the position of managing director of operations in sub-Saharan Africa, where he implemented various leadership development and change management programs and managed strategic planning and business development activities.

Case Study: Using Predictive Analytics for Strategic Planning at Crawford GTS

 Bob Wood

Bob Wood

Director of Analytics Product Team

Merkle

Bob Wood is currently serving as Director of Merkle Analytics' product team. In addition to 12 years of marketing leadership experience in the finance, consumer goods, and telecommunications verticals, he holds a BS/MS in Applied Math and an MBA from Brigham Young University, an MS from Wichita State University, and is currently pursuing a PhD in Psychology from Wichita State emphasizing consumer choice and behavioral economics.

Case Study: Using Analytics to Guide the Creation of Creative for Segment-Targeted Campaigns

 Jane Zhong

Jane Zhong

Senior Manager

Scotiabank

Jane Zhong is Senior Manager of Predictive Analytics team at Scotiabank. She leads the team to provide advanced analytical services for retail banking, and is responsible for predictive modeling, segmentation, data mining, and optimization. Jane has over 10-years analytical experience in marketing, risk management and business groups, and over 5-years research experience at various universities. Prior to Scotiabank, she worked for TD bank and Sears Canada. Jane holds both B.S. and M.S. in engineering from Northwestern Polytechnical University in China and Ph.D in Automation from the Institute of Automation Chinese Academy of Sciences. She was a Postdoctoral Fellow at University of Toronto.

Case Study: Mortgage Liquidation Model Building and Application

 Dana Zuber

Dana Zuber

Strategy and Analytics Executive

Wells Fargo

Dana Zuber is a strategy and analytics executive at Wells Fargo where she was an early adopter and evangelist of using visual analytics to tell stories with data. She has led analytics teams at Wells Fargo in Wealth Management, Branch and ATM Planning and most recently in Enterprise Data and Analytics. Dana presents regularly to Wells Fargo executive leadership teams in addition to speaking at conferences. She is a guest speaker on the topic of data visualization and analytics at Stanford, Sonoma State University, The University of San Francisco and Mills College. Prior to Wells Fargo, Dana has worked at companies such as Walmart.com, L'Oreal USA and Canadian Tire.

Dana has a degree in Mechanical Engineering from Queen's University in Canada and an MBA from The Kellogg School of Management at Northwestern. Dana lives with her family in the Bay Area in Northern California.

Case Study: Data Visualization Design Using Shneiderman's Mantra: Overview First, Zoom and Filter, Then Details-On-Demand

Share |
Register Now!
Refer a Friend
Download the Preview Guide
TAW SF Tile
Download the Mobile App
PAW Highlights Video

Sponsors

ForeSee
SAP

deloitte

AbsolutData Holdings Inc
Inkiru Predictive Intelligence™ platform
StatSoft,Inc

 Alpine Data Labs
ExactTarget
 Recommind
Revolution Analytics

Forio
Information Builders
LatentView
oxdata
Salford Systems
University of California, Irvine Extension
University of San Diego
University of San Francisco

Actuate
KXEN
Lumina
Tableau software
Turing Data

MasterCard
LatentView


Genpact


Check out the official PAW Blog Partners
© 2014 Predictive Analytics World | Privacy
Produced by Prediction Impact, Inc. and Rising Media, Inc.

Predictive Analytics Company           Predictive Analytics Event Producer