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).
Karan is responsible for the development and implementation of the IQR (an EXL Analytics company) services, marketing and business strategies worldwide. At IQR Consulting, now a part of market leader EXL Analytics, he has led complex consulting engagements for banks and credit unions. He has 16 years of experience in Financial Services but he has been instrumental in leading IQR to expand its expertise and best practices to other industries as well. He is a graduate in Management Information Systems from Virginia Tech and an MBA in Finance from the University of Maryland. He started his career spending 6 years at Capital One in their data analysis & credit review functions. He has also been a consultant at some top organizations like Fannie Mae, American Express, and British Telecom. Karan has spoken about usage of analytics at many international conferences.
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.
Zurich North America
Eugene received his BS in civil engineering from the University of Illinois
and earned his MBA from Carnegie Mellon University.
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.
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
Open Data Group
She is responsible for pre sales, business development, solution design and delivery of Analytics and Data Science opportunities for the Americas region within HP Enterprise Analytics and Data Management.
Prior to joining HP, she worked with JP Morgan Chase and Fractal Analytics. She has a Master degree in Economics from Delhi School of Economics.
Director - Analytic Services
Senior Data Scientist, Analytics and Insights
Deep comes with extensive enterprise experience on Data Architecture, Data Modeling, Data Warehousing, Business Intelligence, Data Analytics and Data Science with past work experience at Verizon and Blue Cross Blue Shield (BCBS).
Founder & CEO
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.
Expert Panel: Data Prep: Overcoming the Bottleneck and Nailing It
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.
Director of Marketing
Lyric Opera of Chicago
Global Director, Analytics and Insights
The TCE team uses Big Data via a holistic listening culture, analytics and data science to identify customer and product performance risks, market opportunities and competitive threats as it relates to EMC customer loyalty. Shawn is responsible for delivering business value by providing actionable insights, through advanced analytics, to determine drivers & trends that impact the Total Customer Experience.
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.
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.
Co-Founder and Chief Scientist
Talent Analytics, Corp.
Sr. Director, Measurement Science
National Consumer Panel
Prior to his current role, Tom has had stints at Ipsos-ASI, Bayer HealthCare (Pharmaceuticals), and smaller analytic shops including Symphony Marketing Solutions and Spire, a Loyalty Marketing Analytics firm. Trained as an Experimental Social Psychologist (Ph.D. earned at the University of Wisconsin - Milwaukee), he is currently augmenting his statistical and social research methods expertise as he nears completion of his online Certificate in Predictive Analytics at UC-Irvine.
I'm currently leading a high technology company specialized in developing innovative and secure mobile communications solutions using the most advanced satellites constellations and ground networks. Our primary market is Aviation - Air transportations Industry, Defense and Aerospace.
With nearly 18 years developing strategic innovative projects applied to Information technology, mobile telecom services and critical satellites communications solutions for leading European companies, my experience ranges from business planning to strategic implementation through cross-functional leadership positions.
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.
Director of Analytics
Naveen has been with Monsanto for 5 year and has worked on development and deployment of a predictive pipeline for R&D organization and has grown the IT analytics capabilities to impact Supply Chain, Commercial and Customer.
Prior to joining Monsanto, he worked on development of HPC systems for high-frequency securities trading, algorithms for high-speed text mining and machine learning solutions for human biometric recognition.
Naveen received his B.Tech. in Electrical Engineering from Indian Institute of Technology in Delhi, India and Ph.D. in Electrical Engineering from Washington University with focus on designing Bayesian inference algorithms for data transmission over noisy communication channels. He enjoys spending time with his wife and two daughters and likes reading books on the history and evolution of Mathematics.
Senior Director, Advanced Analytics & Research
Bob Wood serves as Merkle's Senior Director â€" Advanced Analytics & Research. He and his team have been involved in numerous analytic and insights projects to support global brands such as MetLife, UnderArmour, Dell, Warner Brothers and Assurant, to help them market more effectively and more efficiently. In addition to having 17 years of leadership experience in research and analytics, Bob has a BS in Math & MS in Applied Math from BYU, MS in Statistics from Wichita State, an MBA from the Marriott School of Management, and is currently a doctoral candidate focusing on consumer psychology at Wichita State University.
Session: A Better Approach to Driver Analysis
Director, Data Science, Enterprise Business Intelligence
Toshi has over 15 years of experience in quantitative research, measurement and psychometrics with emphasis on research design, program evaluation, data mining and predictive modeling to help marketing organizations better utilize research and analytics to drive their customer-centric strategies. Dr. Yumoto has been published and presented in over 50 academic journals and currently serves as a professional reviewer for PLoS ONE, Journal of Alzheimer's and Dementia, and Journal of Research in Nursing and Health. Dr. Yumoto has a Ph.D. from the University of Maryland College Park in Measurement, Statistics and Evaluation and a master's from Adler School of Professional Psychology in Counseling Psychology.
Session: A Better Approach to Driver Analysis
Boris Zibitsker, Ph.D.
• Capacity management departments at FNBC and CNA Insurance company in Chicago
• Founder, CEO, CTO and Chairman of BEZ Systems (1983 - 2010), acquired by Compuware in 2010
• CTO of Modeling and Optimization at Compuware (2010-2013)
• Founder and CEO of BEZNext (2011 - present)
• Manage development of the modeling and optimization software supporting capacity management of mix workloads in multi-tier, distributed, virtualized, parallel processing systems, including Big Data Clusters, Teradata, Oracle, DB2 and Application servers
• Applied Machine Learning algorithms for performance and availability problem detection, root cause analysis and risk prediction for internet and cloud computing applications
• Consulted many of Fortune 500 companies
• Taught seminars and presented at conferences in North and South America, Europe, Asia, and Africa
• Current focus is on developing technology and providing services and education in Performance Assurance for Big Data Applications and Data Warehouses. It includes Software Performance Engineering for new applications and Dynamic Capacity Management for production environment.
• MS and PhD research at BSUIR and NIIEVM
• Taught graduate courses on Modeling of Computer Systems, Queueing Theory with Computer Applications, Computer Communication Systems Design and Analysis at DePaul University in Chicago
• Taught seminars at Northwestern University, University of Chicago and Relational Institute
• Author of papers on modeling, performance prediction, workload characterization, performance management, workload management and capacity plan.
Expert Panel: Data Prep: Overcoming the Bottleneck and Nailing It