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: The Revolution in Retail Customer Intelligence
Q&A Session: Ask Karl and Dean Anything (about Best Practices)
Workshop: Advanced Methods Hands-on: Predictive Modeling Techniques
Workshop: Supercharging Prediction with Ensemble Models
Global Director Analytics & Insights Solutions
Johnson & Johnson
Data Science Advisor at Metadata.io and Analytics Instructor, Harrisburg University of Science and Technology
Mr. Feyzi R. Bagirov is a Data Science Advisor at Metadata.io and an Analytics Instructor at Harrisburg University of Science and Technology.
Mr. Bagirov has an extensive experience as an online educator, developing and teaching courses on Data Science, Data Analytics, Game Analytics and Data Mining subjects in a number of online undergraduate and graduate programs. He has participated in the creation of the graduate Master of Science in Data Analytics at the University of Maryland University College, and was a Founding Director of an undergraduate program (Bachelor of Science in Data Science) at Becker College.
Mr. Bagirov is a former US Marine. For the past 4 years, Mr. Bagirov worked on various analytical and educational projects and startups in the United States and overseas (Azerbaijan, Tunisia, Senegal and Mozambique). In addition, he is the founder of the Big Data Behavioral Analytics Boston meet-up.
He holds a bachelor's degree in international economics from Azerbaijan University in Baku, Azerbaijan, and an MBA with a focus in entrepreneurship from Babson College in Wellesley, Mass.
University Professor of Computer Science
New York University
Anasse Bari (Ph.D.) is data mining expert and a university professor of computer science at NYU who has many years of predictive modeling and data mining experience. Bari has recently worked closely with leadership of the World Bank Group as a data scientist where he was leading the design of enterprise data analytics projects. Bari is the co-author of the book "Predictive Analytics for Dummies", Wiley.
Prior to MapR, Joe was the Chief Scientist for Optum (a division of UnitedHealth) and the principal innovator in analytics for healthcare. As a Sr. Fellow with OptumLabs, he applied machine learning concepts to healthcare issues such as disease prediction from co-morbidities, estimation of PMPY (member cost), physician scoring and treatment pathways. As a leader in the Payment Integrity business, he built anomaly detection engines responsible for saving $100M annually in claim overpayments.
Senior Vice President
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.
VP, Analytics & Business Intelligence
Bob Bress is Vice President of Analytics & Business Intelligence in a division of Comcast Cable focused on advanced advertising technologies. In that role he leads teams of data science and analytical staff focused on using their expertise to lead the development of the next generation of advanced targeted advertising products for
television. Bob has over 15 years of analytics experience across industries including work in hospitality, energy, and at GE's Global Research Center in the Applied Statistics Lab.
Bob holds undergraduate and graduate degrees in Industrial Engineering and Operations Research & Statistics from Rensselaer Polytechnic Institute.
Global Asst. Vice President of Data Science
Matthew is currently the Global Asst. Vice President of Data Science for Citibank who focuses on Big Data and Data Science across geographies and businesses. Working both directly for banks and as a consultant, Matthew has spent his career pushing the envelope in practical uses cases such as marketing, operational analytics, and outlier analysis.
Senior Architect Research Scientist
Lawrence is a Partner at the Cicero Group, a leading data-driven strategy consulting firm located in Salt Lake City, UT. Lawrence has spent the last eight years building Cicero's analytics practice where he has experience helping Fortune 500 firms solve real business challenges with data, including attrition, segmentation, sales prioritization, pricing, and customer satisfaction. Lawrence is also an expert in choice modeling (choice-and menu-based conjoint), having successfully deployed and implemented more than 50 studies in his career at Cicero, relying upon Hierarchical Bayesian and Latent Class analysis to derive accurate market based scenarios. Lawrence holds a Master's of Science in Predictive Analytics from Northwestern University, an MBA with an emphasis in Business Economics from Westminster College, and a BA from Brigham Young University.
Professor, Stern School of Business & Center for Data Science, NYU
Editor-in-Chief, Big Data journal
Dr. John Elder
CEO & Founder
John Elder leads America's most widely experienced Data Science consultancy. Founded in 1995, Elder Research (www.elderresearch.com) has offices in Charlottesville VA, Washington DC, Baltimore MD, and Raleigh NC. The team has solved problems in investments, business, and science by analyzing data in tables, text, and links. Dr. Elder co-authored 3 books (on data mining, ensembles, and text mining), two of which won "book of the year" awards in Mathematics or Computer Science. John has created analytics tools, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. Dr. Elder earned Engineering degrees from Rice and UVA and is an Adjunct Professor of Systems Engineering at UVA. He was honored to be named by President Bush to serve 5 years on a panel to guide technology for national security.
Special Plenary Session: Doing Space-Age Analytics with Our Hunter-Gatherer Brains
Expert Panel: Data Prep: Overcoming the Bottleneck and Nailing It
Workshop: The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes
Associate Department Head, Applied Software Engineering
The MITRE Corporation
Chief Data Officer
Usama M. Fayyad, Ph.D. is Group Chief Data Officer at Barclays in London where his responsibilities include building and delivering the data infrastructure for BI, data warehousing, BigData and analytics/insights technologies across the Barclays Group globally as well as data governance, and enterprise Data Architecture. He also took on an additional role at Barclays as CIO of Risk, Finance, and Treasury Technology. He is Chairman of Oasis500 in Jordan following his appointment in 2010 by King Abdullah II of Jordan to be the founding Executive Chairman. Oasis500 a tech startup investment fund that runs an accelerator, entrepreneurship training program, and angel investment network aiming to fund 500 Internet and Technology startups in the MENA Region. From 2011-2013 he served as Chairman & CTO of BlueKangaroo, a mobile search engine to help consumers benefit from the vast offers environment that is difficult to search and benefit from. 2008: founded Open Insights: data strategy/technology firm to help enterprises develop data strategy & BigData solutions to effectively grow revenues. 2004-2008: Yahoo!'s chief data officer & Executive VP of Yahoo!'s global BigData systems/policies & data scientist group using Big Data for content/ad targeting: growing Yahoo! revenues from targeting by 20x in 4 years while processing 25+ Terabytes of data/day. Founder of Yahoo! Research Labs: the premier scientific research organization to develop the new sciences of the Internet.2003: co-founded/led DMX Group, a data mining/data strategy company -- acquired by Yahoo! in 2004. In early 2000: co-founder/CEO of Audience Science (digiMine, Inc.) the leader in Behavioral Targeting & ad networks.1995-2000: led Data Mining & Exploration group at Microsoft Research, built data mining products for Microsoft's server division. From 1989-1996: held a leadership role at NASA's JPL in analysis of Big Data in Science earning him the top research excellence award from Caltech, as well as a U.S. Government medal from NASA.Fayyad's Ph.D. in engineering is from the University of Michigan, Ann Arbor (1991). He holds BSE's in both EE & CSE (1984); MSE in CSE (1986); and M.Sc. in mathematics (1989). He published over 100 technical articles, holds over 30 patents. A Fellow of AAAI (Association for Advancement of Artificial Intelligence), Fellow of ACM (Association of Computing Machinery), editor two influential books on data mining; Founding editor-in-chief of primary scientific journal in field (Data Mining and Knowledge Discovery) and of SIGKDD Explorations Newsletter, Chairman of ACM SIGKDD which runs the world's premiere data science, big data, and data mining conferences: KDD. He is an active angel investor in U.S., EU and Middle East specializing in early-stage tech companies.
Special Plenary Session: The Rapidly Changing Big Data Landscape: Balancing the Power with the Dangers of Confusion
Session: Parametric Uplift Regression Models
Manager, Advanced Analytics
Miles & More GmbH
Chip Galusha is a data scientist at Paychex Inc., a leading provider of integrated human capital management solutions for payroll, HR, retirement, and insurance services. As a member of the data science and predictive analytics team, Chip harnesses the power of big data and statistical modeling to provide data driven intelligence that enhances strategic decision making. Chip has spent the greater part of the last 10 years working with data in a variety of fields, from e-commerce to public health. This has helped him develop a full view of data driven solutions, from ETL processes through model deployment. He holds a Master of Science in Statistics from the University of Vermont.
Open Data Group
Dominique Haughton, PhD
PhD Professor of Mathematical Sciences
Jonathan Haughton, PhD
Professor, Department of Economics
Associate Director Advanced Analytics
Miles & More GmbH
Digital Strategist & Analyst
The Data Incubator
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.
Senior Technical Staff, Supply Chain Analytics
Chief of Staff
Senior Vice President, Big Data Analytics & Information Management
Prior to joining CA technologies, Saum spent 14 years at Hewlett Packard. Over this time he served as CIO of the Personal Computing division, CIO of Software business, and CIO of Americas region. During his tenure at HP, Saum implemented industry's leading big data platform, developed the strategy for and launched HP's enterprise mobile platform, and transformed HP's digital commerce.
An astute business executive, Saum guided the launch of HP's big data offering, HAVEN, and the mobile platform offering, HP Anywhere, in the market.
As a modern CIO, Saum, in addition to managing technology, also participates actively in helping the company grow revenues. He helped forge strategic alliances between HP, a large systems integrator in India, and a prominent big data company.
As a thought leader, Saum has served on advisory boards of MapR, a Hadoop Company, and Clique Intelligence, a startup technology company. He has given seminars on application modernization, and big data transformation to hundreds of executives around the world. In addition, his ideas have been referenced by authors of technology and management books. He has a patent pending.
Saum was named as the top 100 CIOs in 2006 by the Computerworld magazine.
Head of Client Engagement, Data Science
He and his team works with clients across the world to ensure their success using DataRobot to solve their business problems. Prior to joining DataRobot, Greg has led modeling teams at Travelers and Regions Financial. He earned his Ph.D. in applied statistics from the Culverhouse College of Business Administration at the University of Alabama. Greg lives in Charlotte, NC with his wife and four children and their pet tarantula.
Diamond Sponsor Presentation: An Introduction to DataRobot Machine Learning Platform
Principal Architect, Data Science
He started his career as an officer in the USMC and after his service worked at GP Strategies (formerly RWD Technologies). Gary holds a BS in Mechanical Engineering from Penn State and an MS in Business Administration from Boston University.
Consulting Research Scientist
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.
Madhu's experience includes establishing a successful Fortune 500 Prototyping Practice for a major startup in the 90's and since 98' co-founding, working in, and with startups as a c-level thought leader and technology board advisor. Ideation pipeline governance, systematic innovation discovery, agile market testing and product tuning leveraging native, open sourced and, acquired intellectual property continue to be a key part of Madhu's current role. He enjoys volunteering in local homeless shelters alongside his family.
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.
Co-Founder and Chief Scientist
Talent Analytics, Corp.
Satadru Sengupta is a Senior Engagement Director, Data Science at DataRobot. In this role, Satadru leads the data science engagement team in the US East Region and he works hands-on with the organizations in the NYC area (healthcare, financial and insurance industry) to integrate DataRobot machine learning platform in their problem-solving environment. Previously, Satadru worked with AIG Science Team as a Senior Manager leading quantitative modeling for global distribution. Prior to that, he worked with Liberty Mutual Insurance and Deloitte Consulting. Satadru holds a Master of Science in Actuarial Science and a Master of Science in Statistics. Satadru lives in Washington, D.C. with his wife.
Expert Panel: Data Prep: Overcoming the Bottleneck and Nailing It
Dr. Eric Siegel, Ph.D.
Predictive Analytics World
Eric Siegel, Ph.D., founder of the Predictive Analytics World conference series and executive editor of The Predictive Analytics Times, makes the how and why of predictive analytics understandable and captivating. He is the author of the award-winning Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, a former Columbia University professor who used to sing to his students, and a renowned speaker, educator, and leader in the field.
Eric has appeared on Al Jazeera America, Bloomberg TV and Radio, Business News Network (Canada), Fox News, Israel National Radio, NPR Marketplace, Radio National (Australia), and TheStreet. He and his book have been featured in Businessweek, CBS MoneyWatch, Contagious Magazine, The European Business Review, The Financial Times, Forbes, Forrester, Fortune, Harvard Business Review, The Huffington Post, The New York Review of Books, Newsweek, Quartz, Salon, Scientific American, The Seattle Post-Intelligencer, The Wall Street Journal, The Washington Post, and WSJ MarketWatch. Follow him at @predictanalytic.
Mike has 20+ years experience developing advanced analytic, technical, and business process solutions to solve complex marketing problems. Mike has been instrumental in driving key innovations in the automotive marketing and analytics services sector including advanced safety recall, analytically driven real time marketing, retail marketing analytics and customer communications, and extending traditional CRM into the digital, multi-channel ecosystem. Mike is a frequent speaker on advanced automotive marketing and analytics including JD Power AMR, DMAD Automotive Integrated Symposium, TLS Customer Centricity, and WardsAuto's Dealer Business. Mike received his BS from the University of Michigan and has a Kellogg MBA.
Senior Software Engineer
Director of Institutional Research
Expert Panel Data Prep: Overcoming the Bottleneck and Nailing It