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Speakers Predictive Analytics World Boston 2013
 Dean Abbott

Dean Abbott

Co-Founder and Chief Data Scientist

SmarterHQ

@deanabb

Dean Abbott is Co-Founder and Chief Data Scientist of SmarterHQ, 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 of 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

 Peter Amstutz

Peter Amstutz

Analytic Strategist

Carmichael Lynch

Peter Amstutz is analytics strategist at Carmichael Lynch Advertising in Minneapolis, Minn., where he optimizes digital media spending and uses analytics to come up with new campaigns for clients Subaru, the Northwestern University Kellogg School of Management and others. With more than 20 years of analytics experience in government, management consulting, medical, retail and advertising, he loves to learn and understand data of all shapes and forms.

Prior to joining Carmichael Lynch, Amstutz worked in a number of analytics positions, including serving on the marketing analytics and customer insights team at Best Buy, where he worked with retail staff to put his data insights to use at individual stores. As the son of two retired teachers, he also has teaching in his blood, having developed and taught analytics courses throughout his career.

Amstutz holds a master's degree in economics from the University of Iowa and a bachelor's in economics and chemistry from Indiana University. Outside of work, he coaches his son's basketball and soccer teams and captains the Carmichael Lynch sand volleyball team.

Case Study: Uplift Modeling and Beyond

 Natasha Balac, Ph.D.

Natasha Balac, Ph.D.

CEO and Founder

Data Insight Discovery, Inc

Natasha received her Master's and Ph.D. in Computer Science from Vanderbilt University with an emphasis in Data Mining from large data sets. Her dissertation focused on creating and applying novel data mining techniques to mobile robots and real time sensor data. She has been with UCSD since 2003. She has also led multiple collaborations across a wide range of organizations in industry, government and academia. She had founded and led the Predictive Analytics Center of Excellence at the Supercomputer Center until 2016. She is currently directing the Interdisciplinary Center for Data Data Science (ICData) at Calit2/Qualcomm institute and lectures at the computer Science Department. Dr. Balac has a number of large and multidisciplinary government and research funded projects including the Center for Medicaid and Medicare Services, NASA, NSF, CPUC, Smart Grid, Smart City, etc. Dr. Balac has founded and serves at the President and CEO of Data Insight Discovery, Inc. DID's charter is enabling businesses to discover actionable insight from vast amounts of data across verticals.

Case Study: Predictive Analytics for Smart Grids

 Michael Berry

Michael Berry

Analytics Director

Tripadvisor Hotel Solutions

Michael Berry is co-author of some of the most widely read and respected books on data mining including Data Mining Techniques for Marketing, Sales, and Customer Relationship Management which is now in its third edition. These best sellers in the field have been translated into many languages. Michael is an active practitioner of data mining. His books reflect many years of practical, hands-on experience down in the data mines. Michael is Director of Analytics at Tripadvisor for Business, the B2B side of Tripadvisor, the world’s largest travel-related web site. Prior to joining Tripadvisor, he spent many years as a data mining consultant and educator.

Keynote: Big Data Changes Everything? Not Really.

 Shiv Bhandari

Shiv Bhandari

SVP, Analytics Consulting Group

Aspen Marketing Services

Shiv Bhandari is a SVP in the Analytics Consulting Group at Aspen Marketing Services, a division of Epsilon. He has more than 15 years of experience in analytics in a variety of industries including automotive, telecom, utilities and manufacturing.

Currently, he leads multiple teams focused on the delivery of Predictive Modeling, Statistical Analysis, Data Mining, Test Design and measurement of CRM programs in telecom and automotive verticals. Shiv is regularly engaged with clients to leverage Big Data to drive measurement, insights, optimization strategies and attribution to improve financial results.

Prior to joining the Aspen team, Shiv worked in marketing and strategy at AT&T and for over 10 years as a consultant for various firms including McKinsey & Co. Shiv holds a Masters in Economics and an MBA from the University of Chicago.

Case Study: How Predictive Analytics Can Drive Marketing Strategy

 Richard Boire

Richard Boire

Senior Vice President

Environics Analytics

Richard Boire, B.Sc. (McGill), MBA (Concordia), is the founding partner at the Boire Filler Group, a nationally recognized expert in the database and data analytical industry and is among the top experts in this field in Canada, with unique expertise and background experience. Boire Filler Group was recently acquired by Environics Analytics where I am currently senior vice-president.

Mr. Boire's mathematical and technical expertise is complimented by experience working at and with clients who work in the B2C and B2B environments. He previously worked at and with Clients such as: Reader's Digest, American Express, Loyalty Group, and Petro-Canada among many to establish his top notch credentials.

After 12 years of progressive data mining and analytical experience, Mr. Boire established his own consulting company - Boire Direct Marketing in 1994. He writes numerous articles for industry publications, is a well-sought after speaker on data mining, and works closely with the Canadian Marketing Association on a number of areas including Education and the Database and Technology councils. He is currently the Chair of Predictive Analytics World Toronto.

Case Study: Determining True Non Linear Variable Relationships and Enhancement of Property Insurance Risk Models

 David  Bonalle

David Bonalle

Executive VP, Marketing & Client Insights

KeyBank

David Bonalle is Executive Vice President and Director of Marketing and Client Insights at KeyBank. He joined KeyBank in 2012 to form and lead the KeyBank Client Insights Center of Excellence and deliver world-class analytics and insights in support of the KeyBank relationship business strategy and local delivery model. Later in 2012 he also took on responsibility for KeyBank Marketing. David joined KeyBank from American Express where he led the launch of American Express Business Insights, an analytics consulting business. Previously at American Express, he was General Manager of Advanced Payments, where he led the introduction of an industry-leading suite of healthcare payment products and the launch of the first national contactless payment product. David is a graduate of the ILR school at Cornell University and has an MBA in Finance from the Wharton School at the University of Pennsylvania.

Case Study: Making Key Business Decisions with Analytics to Better Serve Customers

 Tiziano Cembali

Tiziano Cembali

Senior Director

Aspen Marketing Services

Tiziano is Sr. Director of Consumer Analytics for Luxottica Retail North America.

Prior to joining Luxottica, Tiziano has worked for several years in marketing analytics at epsilon where he worked in the telecom, and automotive industries developing analytical solutions to impact marketing ROI, and leveraging predictive models to develop acquisition, upsell and retention strategies.

Before joining the Aspen team, Tiziano worked for Equifax as Director of Analytics R&D and for Kantar Health (a WPP company) as Econometrician.

Tiziano holds a BS and a MS from University of Bologna, Italy, and a MA and Ph.D. in Economics from Washington State University.

Case Study: How Predictive Analytics Can Drive Marketing Strategy

 Brett Cohen

Brett Cohen

Senior Business Intelligence Analyst

AOL

@BrettCohen19

Brett is a Senior Business Intelligence Analyst and Tableau evangelist at AOL specializing in the Search, Toolbars, and AIM businesses. Brett is responsible for making sure the leadership team has a holistic view of AOL Search performance, as well as building dashboards to help executives easily view their KPIs. He also created an innovative method for measuring customer lifetime value to aid in investment decisions. His current passion is developing new visualizations and methodology for looking at customer churn. Prior to AOL, he worked as a Market Optimization Specialist and E-commerce Analyst at Charming Shoppes and a Market Research Analyst at Marketing Solutions Corp. Brett holds a BS and an MS in Economics, both from Lehigh University.

Case Study: How Much Are You Worth? - Calculating Customer Lifetime Value

Dr. John Elder

Dr. John Elder

Founder & Chair

Elder Research

@johnelder4

John Elder chairs America's most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina and Washington DC. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia, and was named by President Bush to serve 5 years on a panel to guide technology for national security.

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

 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.

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

 James Freeman

James Freeman

Staff Consultant

TIBCO Spotfire

For 15 years and across multiple industries, James has turned data into insights then actions working at the boundaries between IT, analysts, and business which we now call Data Science.

Gold Sponsor Presentation: Predictive Analytics 2.0 - Data Science for the Enterprise

 Aswinraj Govindaraj

Aswinraj Govindaraj

Analytics Consultant

Hewlett-Packard

Aswinraj Govindaraj, Analytics Consultant, Global Analytics, HP, holds a Masters in Business Analytics from University of Cincinnati College of Business, Ohio. He has over 3 years of professional work experience in data processing and customer analytics. Aswinraj is a consultant responsible for providing analytical support to various Marketing and Customer Intelligence projects for HP's small and medium business segment. His key areas of expertise include statistical and predictive modeling, customer segmentation, and campaign analytics.

Case Study: Combining Structured And Unstructured Data To Identify Opportunities With SMB Clients

 Bob Granese

Bob Granese

VP, Data Analyst, Data Quality Analytics & Improvement

Citigroup

Bob Granese is a member of Citi's Data Quality Analytics and Improvement (DQAI) Team. Bob is a six sigma Master Blackbelt with extensive experience in the banking industry. Before joining Citi, he led several teams at Bank of America and Charles River Labs. Bob also co-authored a data quality related paper and filed one US patent.

Case Study: The Importance of Data Quality in the Context of Big Data

 Fred Grunwald

Fred Grunwald

Vice President Analytics

New Directions Behavioral Health

Fred Grunwald is the Vice President of Analytics at New Directions Behavioral Health where he manages the Analytics, Reporting and Claims Audit functions. Fred has led numerous Analytics efforts directed at improved outcomes and lower costs in the Behavioral Health market. These include lowering readmissions, increasing HEDIS™ scores, using patient mix to create comparative case rates for facilities, and identifying utilization differences using demographic lifestyle clusters.

Fred has worked in health care for his entire career in both hospitals and payer settings. He has a Master of Business Administration degree from the University of Chicago and an undergraduate degree in Industrial Engineering & Operations Research from the University of Missouri.

Case Study: Deploying Predictive Models In Virgin Waters: Predicting Behavioral Health Readmissions

 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.

Gold Sponsor Presentation: 5 Predictions about Predictive Analytics

 Tom Kern

Tom Kern

Risk Modeling Manager

Paychex, Inc.

Tom Kern is a Risk Modeling Manager at Paychex, Inc. Under the Risk Management umbrella, Tom helps to coordinate and execute a wide range of projects centered on predictive modeling, optimizing processes in all departments from sales strategy to internal operations and mitigating risk throughout the company.

Tom joined Paychex in 2012. Prior to Paychex, Tom was a Predictive Modeling Analyst with a large digital marketing agency, servicing major clients in the financial services, insurance, and automotive industries. He holds a MA from Boston University in Applied Statistics, and a BA from Boston University in Applied Mathematics. Tom is a four-time PAW speaker.

Case Study: Shaping Sales Strategy with Predictive Analytics

 Mahesh Kumar

Mahesh Kumar

Founder & CEO

Tiger Analytics

Mahesh Kumar is the Founder & CEO of Tiger Analytics. Mahesh started Tiger Analytics in 2011 with a desire to bring his experience in management science to help organizations achieve superior performance through the application of advanced analytics. Tiger Analytics is one of the fastest growing companies in the analytics space, with a team of 120+ data scientists and engineers working out of the US and India solving complex business problems in the areas of marketing science, customer analytics, and operations & planning analytics for its clients in various industries.Prior to founding Tiger Analytics, Mahesh was on the faculty of Smith School of Business, Rutgers Business School and MIT Sloan School of Management. He has conducted research in the areas of data mining and statistical modeling and has successfully applied it to solve problems related to forecasting, pricing, promotions, and customer segmentation.Mahesh holds a Ph.D. in Operations Research and Marketing from MIT Sloan School of Management, and a B.Tech. in Computer Science from IIT Bombay. Mahesh currently lives in the Silicon Valley with his wife and son and visits India frequently to work with his team in Chennai.

Case Study: Predictive Analytics in Social Media Advertising

 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

 Saum Mather

Saum Mather

Global CIO, HP Software

Hewlett-Packard

Saum Mathur is CIO of HP Software for Hewlett-Packard Company (HP). He has overall responsibility for application development and support, customer service and technology innovations and solutions to complement HP Software solution offerings. Saum also has enterprise-wide responsibility for defining and managing deployment of the HP global business intelligence strategy, enterprise architecture, data services, analytics platforms, and related technologies.

Before joining HP, Saum worked with CGI consulting, Deloitte and Touche Consulting, Alcatel, and SPAR Aerospace. Early in his career, he specialized in safety-critical software engineering, software engineering process improvement, software quality management, aerospace engineering, and robotics.

Saum holds a Masters in engineering from McGill University in Canada and an undergraduate degree from Marine Engineering and Research Institute in India.

Keynote: Using Analytics to Power the New Style of IT

 Douglas Miller

Douglas Miller

VP, Analytics

Rocket Fuel

Doug oversees efforts to optimize the use of Rocket Fuel's technology and solutions to attain customer and campaign success. With over 15 years of driving results across digital and enterprise analytics, he enjoys finding integrated technology solutions for customers' marketing challenges. Prior to joining Rocket Fuel, Doug led the marketing analytics and applications group at Adobe Systems where he was responsible for optimizing global marketing investments. Under his leadership, Adobe became a recognized leader in its usage of digital-marketing analytics and adopted its first truly integrated enterprise data warehouse to drive business decisions. In addition, he shaped strategy for customer and digital analytics across Adobe's Creative Cloud offerings, and led the integration of the Omniture Marketing Suite across Adobe's global digital properties. He also served on the Omniture Customer Advisory Board both before and after Adobe's Omniture acquisition.

Case Study: Uplift Modeling and Beyond

Dr. Gary Miner

Dr. Gary Miner

Senior Statistician and Data Mining Consultant

StatSoft, Inc.

Dr. Gary Miner received a B.S. from Hamline University, St. Paul, MN, with biology, chemistry, and education majors; an M.S. in zoology and population genetics from the University of Wyoming; and a Ph.D. in biochemical genetics from the University of Kansas as the recipient of a NASA pre-doctoral fellowship. He pursued additional doctoral and postdoctoral studies in the areas of mammalian genetics, marine embryology, behavioral genetics, schizophrenia, psychiatric epidemiology, and biostatistics, eventually becoming immersed in the study of affective disorders and Alzheimer's disease.

In 1985, he and his wife, Dr. Linda Winters-Miner, founded the Familial Alzheimer's Disease Research Foundation, which became a leading force in organizing both local and international scientific meetings, bringing together all the leaders in the field of genetics of Alzheimer's from several countries. In the mid-1990s, Dr. Miner turned his data analysis interests to the business world, joining the team at StatSoft and deciding to specialize in data mining. He started developing what eventually became the Handbook of Statistical Analysis and Data Mining Applications (co-authored with Drs. Robert A. Nisbet and John Elder), which received the 2009 American Publishers Award for Professional and Scholarly Excellence (PROSE). Their follow-up collaboration, Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications, also received a PROSE award in February of this year, and included co-authors Dr. Thomas Hill, Dursun Delen, and Andrew Fast.

Currently, Dr. Miner and his wife, et al, are putting the final touches on their next book, Practical Predictive Analytics and Decisioning Systems for Medicine: Informatics Accuracy and Cost-Effectiveness for Healthcare Administration and Delivery Including Medical Research, due out in 2014. Dr Miner serves as Vice President and Scientific Director of Healthcare Predictive Analytics Corp.; as Merit Reviewer for PCORI (Patient Centered Outcomes Research Institute) that conducts predictive analytics research into the comparative effectiveness of treatments/drugs among different genetic groups of patients; and also as StatSoft's Coordinator of Academic Licensing in US and Canadian markets.

Expert Panel: Big Data for Predictive Analytics
Gold Sponsor Presentation: Addressing Privacy Concerns: Critical Features for Predictive Analytics Platforms

 Philip O'Brien

Philip O'Brien

MIS and Portfolio Manager

Paychex

Philip O'Brien is responsible for the predictive analytics program at Paychex Inc., a leading provider of payroll, human resource, insurance, and benefits outsourcing solutions for small- to medium-sized businesses. The predictive analytics team at Paychex has implemented models to help with strategic decisions across all aspects of the business, including effectively targeting retention strategies, assisting in dynamic cross-sell initiatives, improving collection targets for bottom line results, and driving client service progression strategies.

Philip has been with Paychex for 15 years and has served in a leadership capacity within analytics for the past ten years. For well over a decade, Paychex has developed its predictive analytics program and has earned industry recognition for its leadership in the space. The predictive analytics function at Paychex continues to grow and add value across the organization, with more than 20 models divided between four portfolios: Operations, Sales, Risk, and Strategy.

Case Study: Shaping Sales Strategy with Predictive Analytics

 Hyoun Park

Hyoun Park

President and Chief Research Officer

Blue Hill Research

Hyoun Park is responsible for the day-to-day research operations at Blue Hill Research. Prior to his role at Blue Hill Research, Park spent 6 years as an analyst at leading research firms Aberdeen Group and Nucleus Research. He is a trusted advisor in the fields of analytics, social networking, unified communications, and enterprise mobility. His work includes insights on the future of telepresence, the true cost of Bring Your Own Device (BYOD), and the alignment between sports analytics and business environments. Park has been named as a top 10 Big Data, analytics, and mobility influencer by multiple media sources and has been quoted in USA Today, the Los Angeles Times, and a wide variety of industry media sources.

Before becoming an industry analyst, Park had a variety of startup and enterprise business roles focused on supporting first-to-market opportunities and transformative enterprise technologies including: managing the integration of the first iPhone into an enterprise mobility environment at Bose; managing billing operations and product updates for Alticomm, the first company to provide local phone service across the lower 48 states after AT&T was broken up; and working at the first fantasy baseball website, mosey.com, on predictive analytic models for Major League Baseball players.

Hyoun Park holds a Bachelors of Arts degree in Women’s and Gender Studies from Amherst College and an MBA from Boston University.

Case Study: The Real World of Predictive Analytics ROI

 Daniel Porter

Daniel Porter

Co-Founder

BlueLabs

Daniel Porter is the cofounder of BlueLabs, a Washington DC based analytics, data and technology company whose clients include political campaigns, nonprofits and corporations.

Prior to founding BlueLabs, Daniel was Director of Statistical Modeling for the 2012 Obama reelection campaign. His team developed individual level statistical models that were used throughout the campaign for fundraising, media buying and state strategy. These models served two primary purposes: to pinpoint which voters were most likely to take an action or hold a belief (i.e. support the President or turn out to vote) as well as to measure the influence a campaign contact had on an individual's likelihood to take such actions or change their beliefs. Combined, these measures helped the campaign optimize their targeting to maximize their return on investment.

Case Study: Pinpointing the Persuadables: Convincing the Right Voters to Support Barack Obama

 Raji Ramachandran

Raji Ramachandran

Citigroup

Raji Ramachandran has a Ph.D in Economics from Florida State University. She has 15 years of financial services industry experience and is currently involved with projects that focus on predictive analytics utilizing Big Data at Citi. In this capacity, Raji works as a bridge between Analysts and Technologists, in order to evaluate and implement techniques and tools to run predictive analytics with Big Data.

Case Study: The Importance of Data Quality in the Context of Big Data

 Steven Ramirez

Steven Ramirez

CEO

Beyond the Arc

@beyondthearc

Steven J. Ramirez is the chief executive officer of Berkeley, Calif.-based Beyond the Arc, Inc., a firm recognized as a leader in helping companies transform their customer experiences by leveraging advanced analytics.

In addition to developing and executing the vision for Beyond the Arc, Ramirez leads teams of data and strategy consultants committed to client success. They analyze customer and social media data, combined with text analysis, to drive customer growth, improve customer retention, understand service breaks and build stronger customer loyalty.

Prior to leading Beyond the Arc, Ramirez served as an executive with Time Warner, where he was responsible for creating and successfully implementing marketing and corporate development strategies.

Ramirez earned a bachelor's degree and master's in Business Administration from the University of California at Berkeley. He as also created and taught courses in business management for UC Berkeley and been a guest speaker at the university's Haas School of Business.

Case Study: Ditch the Crystal Ball: Leveraging Predictive Analytics to Eliminate Customer Dissatisfaction Before it Spells Disaster for Your Business

 Michael Recce

Michael Recce

Vice President of Modeling

Quantcast

Michael Recce serves as Quantcast's VP of Modeling and moonlights as an adjunct professor at the New Jersey Institute of Technology. At Quantcast, Michael leads the scientific team and is responsible for developing highly precise and real-time algorithms that can analyze petabytes of data to support predictive modeling and analytics. Michael holds 6 US Patents, including one for "smart gun" technology, "dynamic grip recognition," & a behavioral biometric for firearms similar to the one featured in the Bond installment, Skyfall. Michael holds a PhD in Neuroscience from the UCL at the University of London, and a BS in Physics from UCSC. As a professor at UCL, he met Konrad Feldman (Quantcast founder and CEO) and convinced him to found Fortent, which became the leader in terrorist financing detection and anti-money laundering software for the world's financial services industry. Michael served at Fortent as its Chief Scientist for 10 years.

Case Study: Real-Time Bidding: A New Era in Advertising

 Karl Rexer

Karl Rexer

President

Rexer Analytics

Karl 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, advertisement abandonment prediction, 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; is on the Board of Directors of Oracle's Business Intelligence, Warehousing, & Analytics (BIWA) Special Interest Group; has served on IBM's Customer Advisory Board; is an Industry Advisor for Babson College's Business Analytics program; and is in the #1 position on LinkedIn's list of Top Predictive Analytics Professionals. Rexer Analytics conducts and freely distributes the widely read Data Miner Survey. The survey has been written about and cited in over 12 languages.

Plenary Session - Industry Trends: Highlights from the 2013 Data Miner Survey

 Greta Roberts

Greta Roberts

Co-Founder & CEO

Talent Analytics, Corp.

@GretaRoberts

Greta Roberts is an acknowledged influencer in the field of predictive workforce analytics. Her continued vision is to bridge the gap between the business, predictive analytics and workforce communities. Since co-founding Talent Analytics in 2001, Greta has established Talent Analytics, Corp. as the globally recognized leader in predicting employee performance, pre-hire.

In addition to being a contributing author to numerous predictive analytics books, she is regularly invited to comment in the media and speak at high end predictive analytics and business events around the world. Through recognition of her commitment and leadership, Greta was elected and continues to be Chair of Predictive Analytics World for Workforce. Additionally, she is a Faculty Member with the International Institute for Analytics (IIA) and an Analytics Certification Board Member of INFORMS.

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

 Chris Sailer

Chris Sailer

Senior Manager, Risk Management & Analysis

The Bill and Melinda Gates Foundation

Chris Sailer is Senior Manager, Risk Management & Analysis at the Bill and Melinda Gates Foundation, responsible for the daily monitoring and assessment of the organization's external risk environment and developing long-term strategies for mitigating future threats. Chris is a graduate of Teachers College, Columbia University of New York, with a Masters in Organizational Psychology, Change Management and Consultation, and holds a Certificate in Professional Development from the Wharton Business School of the University of Pennsylvania. He is a Certified Criminal Intelligence Analyst with the International Association of Law Enforcement Intelligence Analysts. Previously, Chris served as a Special Agent with the US Army Criminal Investigation Command and was assigned both as an investigator and as a personal security officer for the US Secretary of Defense and the Chairman of the Joint Chiefs of Staff. He also served with Army Intelligence and Security Command under the 470th Military Intelligence Brigade.

Case Study: Predicting Threats For The Gates Foundation - Protecting Our People, Investment, Reputation and Infrastructure

 Vikash Singh

Vikash Singh

Director, Marketing Analytics

AutoNation

Vikash Singh is a Director of Marketing Analytics at AutoNation, America's largest auto retailer. He has more than 10 years of experience in solving Marketing and Revenue management problems in automotive and travel industry. He has hands-on experience in marketing mix and econometric modeling, advanced customer analytics, revenue forecasting/modeling, demand modeling, marketing optimization, channel attribution and allocation methodologies. Prior to joining AutoNation, Vikash worked in a number of analytics positions at Carnival Cruise Lines and Grand Circle Cruise Lines. Vikash holds a master's degree in Industrial Engineering from the University of South Florida.

Case Study: How Predictive Analytics Can Drive Marketing Strategy

 Jagmeet Singh

Jagmeet Singh

Vice President, Chief Data Office

Citigroup

Dr. Jagmeet Singh is currently a Vice President in Chief Data Office of Citibank. Jagmeet received a Ph.D. degree from the Department of Mechanical Engineering at MIT, He received a S.M. degree in Mechanical Engineering from MIT, in 2003 and a B.Tech. degree in Mechanical Engineering from Indian Institute of Technology, Kanpur, India. He has published several articles in leading technical journals. He has filed seven patents in US, and two International Patents. He has served as a Session Chair and a Journal Reviewer for ASME. He holds certifications in the field of Reliability, Data Quality, Data Modeling and Metadata Management, Data Governance, Information Management and Master Data Management. His areas of expertise include Reliability, Multivariate Statistics, RCA, CBM, PHM, Pattern Recognition, Predictive Analytics, Time Series Analysis, Six Sigma, Assembly Architecture, and Systems Engineering. He is a recipient of numerous awards at Citi, GE and IIT.

Case Study: The Importance of Data Quality in the Context of Big Data

 Shel Smith

Shel Smith

Partner and Founder

Twenty Ten

Shel Smith is Partner and Founder of Twenty-Ten Inc., a leading marketing analytics firm based in New York City and Toronto.

Twenty-Ten has the patented ability to enable direct mathematical linkage between quantitative attitudinal profiles and real consumers without proxies or syndicated data. Focused on attitudinal consumer targeting across D2C, mass media and digital media touch-points, Twenty-Ten consistently delivers 15-20% improvements on ROI over traditional analytic modeling to a broad base of Fortune 500 clients including Procter & Gamble, Target, Ford and Time Warner.

Shel brings over 25 years of marketing experience from both the agency and client perspective and started his career as a brand builder at Colgate-Palmolive. Shel is the holder of two U.S. patents (and four patents pending) and has a B.A. and M.B.A. from McGill University.

Case Study: Driving Media Buying Efficiencies Up 15-25%

 Carol  Tannous

Carol Tannous

Senior Manager in the Data Analytics practice

Deloitte Financial Advisory Services LLP

Carol Tannous is a Senior Manager in the Data Analytics practice within Deloitte Financial Advisory Services LLP. She has over 8 years of experience specializing in data mining and analytics. Her technical experience includes the analysis and management of complex and large datasets in support of forensic accounting and financial investigations, bankruptcy cases, asset management remediation, Foreign Corrupt Practice Act violations, stock options and anti-money laundering investigations. Ms. Tannous holds a Bachelor of Engineering in Computer and Communications and a Master of Science in Information Technology from Bentley College. Ms. Tannous is based in Boston, MA.

Case Study: Predictive Coding - Document Review in Legal Matters and Investigations

 Sarah Will

Sarah Will

Data Scientist

Elder Research

Analyst Sarah Will graduated cum laude from The College of William & Mary in 2010 with a B.S. in Mathematics and a minor in Linguistics. She joined ERI in 2011 in the Washington, D.C. office, where she does work involving fraud detection, data visualization, and text analysis. She previously worked as a Mathematical Statistician for the U.S. Census Bureau. In her free time, she enjoys playing the piano, making jewelry, and is on a recreational floor hockey team. She hopes her knowledge of dead languages (Latin, Old English, and Biblical Hebrew) will come in handy in the near future.

Case Study: The Organic Evolution of a Data Analytics Team

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