October 23-27, 2016
New York
Delivering on the promise of data science
Click here for upcoming PAW events


 Dean Abbott

Dean Abbott

Co-Founder and Chief Data Scientist



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).

Session: Q&A: Ask Dean and Steve Anything (about Best Practices)
PAW Business Session: The Revolution in Retail Customer Intelligence
Workshop: Advanced Methods Hands-on: Predictive Modeling Techniques
Workshop: Supercharging Prediction with Ensemble Models

Dr. John Elder, Ph.D.

Dr. John Elder, Ph.D.

Founder & Chair

Elder Research


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 Featured Session: Luck, Skill, or Torture? How Target Shuffling Can Tell if What Your Data Says is Real

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

Dr. Usama Fayyad, Ph.D.

Dr. Usama Fayyad, Ph.D.


Open Insights


Usama was recently Global Chief Data Officer at Barclays in London (2013-2016) and has sinced founded the Open Insights working on AI/Machine Learning, BigData strategy. He was the first person ever to hold the Chief Data Officer (CDO) title when Yahoo! acquired his second startup in 2004. Usama earned his Ph.D. in engineering in AI/Machine Learning from the University of Michigan. He has published over 100 technical articles on data mining, data science, AI/ML, and databases; and holds over 30 patents.

Keynote: Big Data Analytics Front-to-Back: Application Case Studies in Financial Services in the Back and Front offices

 Frank Fiorille

Frank Fiorille

Sr. Director of Risk Management

Paychex, Inc.


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.

Session: Risk Management Algorithms - Paving the Way to Value Creation

 Roger Fried

Roger Fried

Sr. Data Scientist


Roger Fried's experience blends analytics and finance with roles as Sr. Data Scientist, Finance Director, Financial Planning System Consultant and Mergers & Acquisition Valuation Analyst. With both an MBA in Finance and a Masters in Predictive Analytics (est. 2017), he is uniquely qualified to address data issues ranging from statistical modeling and machine learning to business intelligence and financial modeling. Currently Roger is on the Teradata Aster Advanced Analytics Strategy and Adoption Team where he works with some of the largest financial institutions.

Sponsor Presentation: Rapid Execution of Enterprise Scale Machine Learning with Mortgage Data and the R Language

 Sanjay Gupta

Sanjay Gupta

Executive Vice President and Head of Model Development

PNC Bank

Sanjay Gupta is the Executive Vice President and Head of Model Development at PNC Bank. He is responsible for the development of quantitative models for Capital and Stress Testing for Wholesale and Retail Assets. Previously, he led Wholesale Analytics at HSBC USA and was the Head of RiskTech, a boutique risk consulting company. He has also worked with a number of top tier financial services firms in US, Europe and Asia in his previous consulting work at Ernst and Young and A.T. Kearney. He has worked extensively in the areas of Quantitative Modeling, Credit Risk, Model Validation; and Risk Governance. He has a Masters in Finance from Carnegie Mellon University, an MBA from Indian Institute of Management, Calcutta and B Tech from Indian Institute of Technology, Delhi, India.

Session: Predictive Analytics for Stress Testing - Industry Challenges

 Eric Hoffman

Eric Hoffman

Vice President

EastBanc Technologies

Eric is a leader in the technology and engineering industry with a passion for helping organizations leverage cloud, mobile, and other technologies to transform operations and derive business value. His unique insight, business acumen and engineering skill have been instrumental in successful planning efforts for clients ranging from the U.S. military to the media and entertainment industry. Prior to joining EastBanc Technologies, Eric led sales and development for Azure Cloud and Mobile Services at Microsoft. Eric is a graduate of the University of Maryland with two bachelor' s degrees-in computer science and finance. He is also a certified AWS business professional, Insead Business Acumen Certified, and serves on the Northern Virginia Board of Startups.

Diamond Sponsor Presentation: 4 Ways the Financial Services Industry Can Unlock the Possibilities of Big Data

 John Ittner

John Ittner

Sr. Director


John Ittner is focused on research projects and initiatives for TransUnion's insurance analytics group. He utilizes TransUnion's unique insurance data assets for reporting and client-focused proactive analytics and is also responsible for marketing, underwriting and retention analytics.

Prior to TransUnion, Mr. Ittner worked at Liberty Mutual and Safeco Insurance in various capacities including property research, auto research, director of state operations and trends and financial forecasting. He has also served as a consulting actuary, professor at Columbia University and housing/economics researcher at the Federal Reserve Board.

Session: Business Intelligence Trends and Tools in Insurance

Dr. Hevel Jean-Baptiste

Dr. Hevel Jean-Baptiste

Global Senior Program Manager, Model Risk Management Systems

GE Capital

Dr. Hevel Jean-Baptiste has been working as a Leader at GE Capital since July 2011. He is a Model Risk Management Administrator and a Leader of several Model Risk Analytics Systems, He has more than 30 years of experience in Investment Banking, Credit Risk Management, Futures and Options, Capital Market, FX Trading, Data Management, Financial Operations, Model Risk Management Administrator, Policy/Procedures, Information Technology, Programming, Risk Governance, and others.

Before working at GE Capital he worked as a Vice President at JPMorganChase for close to 10 years. He worked in several management positions (e.g., Fixed Income, Equities, Global Credit Risk Management, and Futures & Options) in the Investment Banking & Technology business. He worked as a chairman of the subcommittee of the employee mobility group under the BLF Black Leadership Forum.

Before working at JPMorgan, he worked for 3 years at Diversified Investment Advisor (a 401k company) as a Project Manager where he managed an application development team and a Maximum Exclusion Allowance group. He worked for two years at Active International and seven years at International Paper Company. He worked for three years at Mazda International Company. In addition of his corporate experience, he worked in several management positions at some non-profit organizations (e.g., Chairman of Diversity subcommittee at JPMorgan Chase, Co-President of Microfinance Club New York, President of First United Development/Gap Fillers Microfinance, Chairman of International missionary of ABC Metro at Scarsdale Community Baptist Church, First Baptist Church of White Plains and President of student organization of Rockland).

Dr. Jean-Baptiste is one child of a family of ten children. His mother raised him by herself when his father died when he was only 13 years old. After high school he entered college in Haiti to study Economics. Later he came to United States to continue his education. He obtained a Bachelor degree in Computer science from Ramapo College in New Jersey. Next, he obtained a Master degree in Computer Science and a Doctorate degree in Computer Science and Information Systems from Pace University in New York. He is a candidate for a second PhD. in Computer Science and Econometrics. He has great desire to learn. He loves Diversity, Business, Technology and Law.

Session: Importance of Model Risk Management in Financial Institutions

 Marcelo Labre

Marcelo Labre

Head of Analytics and Market Data


Marcelo Labre has over 15 years experience in finance within quantitative and data analytics, both in hands-on and leadership roles. As Head of Analytics and Market Data at OCBC Bank and Adjunct Professor at the National University of Singapore (NUS) Business School, Marcelo's focuses on problem solving involving predictive and prescriptive analytics as well as risk analytics and quantitative finance. He previously held senior positions with Standard Bank and ING Bank in London, has a Masters in Finance from London Business School and a PhD in Mathematical Finance from Imperial College London.

Session: Challenging the Dogma: Predictive Analytics Problems Poorly Tackled by Theoretical Finance

 Michael Li

Michael Li


The Data Incubator


Michael Li founded The Data Incubator, a New York-based training program that turns talented PhDs from academia into workplace-ready data scientists and quants. The program is free to Fellows, and routinely accepts just 1% of applicants. Employers engage with the Incubator as hiring partners.

Previously, Michael worked as a data scientist (Foursquare), Wall Street quant (D.E. Shaw, J.P. Morgan), and a rocket scientist (NASA). He completed his PhD at Princeton as a Hertz fellow and read Part III Maths at Cambridge as a Marshall Scholar. At Foursquare, Michael discovered that his favorite part of the job was teaching and mentoring smart people about data science. He decided to build a startup to focus on what he really loves.

Michael lives in New York, where he enjoys the Opera, rock climbing, and attending geeky data science events. You can find out more at www.thedataincubator.com.

Session: What Data Scientists Can Learn from Quants

 Tomo Matsuo

Tomo Matsuo

Chief Operating Officer


Tomo Matsuo is Chief Operating Officer of Bizfi (formerly Merchant Cash and Capital), an online aggregation and funding platform that has provided $1.5 billion in financing to more than 27,000 small businesses in the United States*. Since joining Bizfi in 2011 and prior to being appointed COO, Mr. Matsuo managed the Underwriting department as well as created and led the Business Intelligence department. He is instrumental in leveraging data science and technology to accelerate Bizfi's evolution to its current status as one of the premier FinTech platforms in the market.

In addition, Mr. Matsuo is leading Bizfi's pilot program in Japan in partnership with Credit Saison, Japan's largest credit card company. Through the pilot program, Bizfi became the first company to originate the merchant cash advance product in Japan. Bizfi is a member of Fujitsu's 'Financial Innovation For Japan (FIFJ)', a leading FinTech consortium.

An accomplished classical musician, Mr. Matsuo is Music Director & Conductor of the 92Y Orchestra, the resident orchestra of the 92nd Street Y organization. It is the oldest community-based orchestra in New York City and currently in its 98th season.

Session: Leveraging Predictive Analytics on the Path to Fintech Success

 Mukund Mohan

Mukund Mohan


Microsoft Strategy


Mukund Mohan helps startups at Microsoft Ventures. He founded and sold BuzzGain in 2011. He has founded and successfully sold 3 Silicon Valley startups in the Internet & Enterprise software markets. Mukund has held executive and management roles in Hewlett Packard (Mercury), and Cisco Systems. He studied at the University of Maryland, Baltimore County pursuing a Master's degree in Computer Science and holds a Bachelor's degree in engineering and computer science from the University of Mysore in India. Mukund blogs at http://www.bestengagingcommunities.com.

Session: Predicting Startup Success: Finding the Unicorns among Wildebeests

 Sri Raghavan

Sri Raghavan

Senior Product Marketing Manager Teradata Aster Analytics

Teradata Aster

Sri Raghavan is a Senior Global Product Marketing Manager for Teradata with more than 20 years of experience developing products, leading advanced analytics/data science agendas, and delivering marketing and sales initiatives that drive the performance and profitability of organizations across the Big Data Applications, Financial Services, Healthcare, and Management Consulting industries.

Sri has a history of managing multiple data science and advanced analytics projects across industries and big data programs to effectively align technology with business goals and financial objectives. Sri has built, trained and supported top-performing global IT teams and has presented and demonstrated a variety of analytic functionality and solutions to customers and in conferences across the U.S. and overseas

Expert Panel: Gaining Traction: How to Establish Buy-In for Predictive Analytics

 Steven Ramirez

Steven Ramirez


Beyond the Arc


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.

Sessions: Q&A: Ask Dean and Steve Anything (about Best Practices)
Leveraging Predictive Analytics on the Path to Fintech Success

 Wolf Ruzicka

Wolf Ruzicka


EastBanc Technologies

Wolf has been a leader in the technology industry for over 20 years. Since joining EastBanc in 2007, originally as CEO, he has overseen the organic growth of the company taking it from 35 employees to over 150, with staff turnover of virtually zero. This enthusiastic workforce, coupled with Wolf's keen vision and strategic direction, has seen EastBanc Technologies establish itself at the frontier of technology with a reputation for game-changing excellence.

Wolf is an entrepreneur, technology advocate, and mentor. He serves on numerous boards and groups, including the Microsoft Customer Advisory Board for Microsoft Azure and the World Economic Forum's "Partnering for Cyber Resilience" initiative. Prior to joining the EastBanc Technologies team, Wolf served as President of APIphany (now part of Microsoft) and held leadership positions with MicroStrategy, Mercedes Benz, Lufthansa, and more. Wolf holds an MBA from Ingolstadt School of Management.

Expert Panel: Gaining Traction: How to Establish Buy-In for Predictive Analytics

 Namit Sureka

Namit Sureka

Vice President, Co - Head of Banking Analytics & Head of Retail Analytics

EXL Analytics

Namit is a seasoned and successful professional with extensive analytics and consulting experience developed over more than a 15-year career. As the Co – Head of Banking Analytics & Head of Retail Analytics, Namit has advised several Fortune 500 companies to look deeper for solutions and find innovative ways to make them happen across Customer Marketing Strategy, Risk Management, Operations, Strategic Cost Management, and Customer Servicing Strategy.

Namit's expertise across multiple industries has enabled him to pioneer new analytics functions, develop innovative business solutions, and improve organizational processes. Namit is strategic leader and trusted advisor focused on driving business results and maximizing profitability.

He has an MBA from the Indian Institute of Management, Ahmedabad.

Session: Predictive Analytics for Stress Testing - Industry Challenges

Dr. Patrick Surry

Dr. Patrick Surry

Chief Data Scientist



As Chief Data Scientist at Hopper, Patrick Surry analyzes flight data to help consumers make smarter travel choices. Patrick is recognized as a travel expert and he frequently provides data-driven insight on the travel industry and trends.

Patrick’s research and commentary have been featured in outlets such as New York Times, USA Today, Bloomberg Businessweek, TIME, and many others. Patrick also regularly appears on various broadcast stations to offer travel insight and tips.

Patrick holds a PhD in mathematics and statistics from the University of Edinburgh, where he studied optimization based on evolutionary algorithms, following an HBSc in continuum mechanics from the University of Western Ontario.

You can also follow Patrick on Twitter at @PatrickSurry.

Session: Buy or Wait? Consumer-Friendly Airfare Prediction or How the Bunny Saves You Money

 Scott Zoldi

Scott Zoldi

Chief Analytics Officer


Scott Zoldi is Chief Analytics Officer at FICO responsible for the analytic development of FICO’s product and technology solutions, including the FICO™ Falcon® Fraud Manager product which protects about two thirds of the world’s payment card transactions from fraud. While at FICO, Scott has been responsible for authoring 84 analytic patents with 41 patents granted and 43 in process. Scott is actively involved in the development of new analytic products utilizing Artificial Intelligence and Machine Learning technologies, many of which leverage new streaming artificial intelligence innovations such as adaptive analytics, collaborative profiling, deep learning, and self-learning models. Scott is most recently focused on the applications of streaming self-learning analytics for real-time detection of Cyber Security attack and Money Laundering. Scott serves on two boards of directors including Tech San Diego and Cyber Center of Excellence. Scott received his Ph.D. in theoretical physics from Duke University.

Keynote: Fraud Screening for 2/3rds of All Card Transactions: A Consortium and Its Data

Share |
PAW Highlights Video

Co-Located with:
PAW Business
PAW Healthcare
eMetrics Summit

Thank you to our 2016 Sponsors
EastBanc Image


Blog Partners
© 2018 Predictive Analytics World | Privacy
Produced by Prediction Impact, Inc. and Rising Media, Inc.

Predictive Analytics Company           Predictive Analytics Event Producer