Predictive Analytics World for Business Las Vegas 2019
June 16-20, 2019 – Caesars Palace, Las Vegas
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).
Dean Abbott is speaker of the following sessions:
Senior Engineering Manager
Ashish manages the Events recommendations and Trends team at Twitter. He uses AI/ML to generate insights from vast amounts of data and build interesting B2C, B2B and enterprise products. He has over 20 years of experience in technology ranging from founding startups to large companies. He has an MBA in marketing from Kellogg School of Management and a B.Tech from IIT BHU, India.
Ashish Bansal is speaker of the following session:
Senior Software Engineer
Leslie Barrett is a Senior Software Engineer at Bloomberg LP's Bloomberg Law division specializing in NLP and Machine Learning applied to legal and government text. Before Bloomberg she was Director of Search Technology at The Ladders Inc, an online resource for executive jobseekers and recruiters. Previously, she was Director of Language Technology at the Financial Times where she managed groups creating new online news search products and electronic news alerts. Leslie holds Ph.D. in Computational Linguistics from New York University. She has over 20 published papers in the fields of Natural Language Processing and Information Retrieval and holds 2 patents. She serves on the Program Committees for the International Conference on Computational Linguistics and Intelligent Text Processing and the International Workshop on Big Data for Financial News.
Leslie Barrett is speaker of the following sessions:
The world's first and only stand-up economist
Yoram Bauman, “the world’s first and only stand-up economist”, performs regularly at colleges and corporate events, sharing the stage with everyone from the late Robin Williams to Paul Krugman. He has appeared in TIME Magazine and on PBS and NPR, and is the co-author of the Cartoon Introduction to Climate Change and the two-volume Cartoon Introduction to Economics, which is now available in Mandarin, Mongolian, and a dozen other languages. Speaking of foreign languages, he is also the organizer of the humor session at the annual meeting of the American Economic Association.
Yoram now lives in Salt Lake City but spent the prior two decades in Seattle, where he was the founder of Carbon Washington, which in 2016 placed the first-ever carbon tax measure on the ballot in the United States. He has a BA in mathematics from Reed College and a PhD in economics from the University of Washington. His goals in life are to spread joy to the world through economics comedy; to reform economics education; and to implement carbon pricing.
Yoram Bauman is speaker of the following session:
Vice President of Analytics & Business Intelligence
Bob Bress is Vice President of Analytics & Business Intelligence at Freewheel, a Comcast Company focused on advanced advertising technologies. In that role he leads teams of data science and analytical staff using their expertise to lead the development of the next generation of advanced targeted advertising products for television and premium video. 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.
Bob Bress is speaker of the following session:
Vice President, Digital Innovation & Business Intelligence
Dave Chan is a certified business intelligence and change management professional, with a track record of implementing data-driven programmes for retail banking, media and healthcare organizations. Currently the Global Lead of Data Excellence at UBM plc, and Vice President Digital Innovation - Business Intelligence at UBM Asia, Dave leads teams and partners that deliver new industry standards in digitalization and use of data intelligence across sales, marketing and finance. UBM operates in more than 20 countries and organizes over 300 market-leading B2B events every year, creating environments which allow businesses to flourish.Prior to UBM Asia, Dave was with HSBC and has held various positions in regional CRM, business intelligence and strategic planning in retail banking.
Dave Chan is speaker of the following session:
Director of Strategic Analytics
Stephen Chen spent over 10 years as an advanced analytics management consultant in diverse industries (including financial, retail, CPG, automotive, telecom, technology, healthcare, agency etc.) helping senior management turnaround their businesses with his blend of data science, strategy, and human insights expertise. Along the way, he has audited numerous models as well as developed analytic techniques that address shortcomings of existing methods.
Originally trained as a social scientist, Stephen was one of the handful of researchers to specialize in Social Network Analysis before the ascendance of Google and Facebook popularized those algorithms. He taught classes on Critical Statistics in university and has been a passionate advocate for model robustness and reliability.
Stephen Chen is speaker of the following session:
VP of Data Science
Aaron is currently the Vice President of Data Science and Solutions at dotData. As a data science practitioner with 14 years of research and industrial experience, he has held various leadership positions in spearheading new product development in the fields of data science and business intelligence. At dotData, Aaron leads the data science team in working directly with clients and solving their most challenging problems.
Prior to joining dotData, he was a Data Science Principle Manager with Accenture Digital, responsible for architecting data science solutions and delivering business values for the tech industry on the West Coast. He was instrumental in the strategic expansion of Accenture Digital’s footprint in the data science market in North America.
Aaron received his Ph.D. degree in Applied Physics from Northwestern University
Aaron Cheng is speaker of the following sessions:
Senior Partner & COO
Lawrence is Senior Partner, COO and Customer Insights & Advanced Analytics practice leader with Cicero Group. Lawrence has spent the last decade building Cicero's analytics practice where he has experience helping Fortune 1000 firms solve real business challenges with data, including attrition, segmentation, sales prioritization, pricing, and customer satisfaction. He also leads the firm in predictive analytics and Big Data related engagements, applying Cicero’s deep expertise in strategy execution to ensure data delivers ROI. He has partnered with companies to help them to shift from reactive to predictive analytics by collecting and analyzing real-time information and distributing it across the organization— allowing management to make better, faster decisions that move the business forward.
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
Lawrence Cowan is speaker of the following session:
Dyann Daley MD
Founder and CEO
Dr. Dyann Daley, MD, is an experienced pediatric anesthesiologist and child maltreatment prevention executive, specializing in location-based predictive modeling, systems thinking, and development of practical solutions for community-influenced children’s issues.
Dr. Daley founded and was the executive director of Cook Children’s Center for Prevention of Child Maltreatment in Fort Worth, Texas where she demonstrated the effectiveness of place-based predictive analytics for child maltreatment using spatial risk modeling. She went on to found Predict Align Prevent, a national nonprofit advancing geospatial machine learning predictions in child welfare, strategic alignment of prevention resources, and implementation of accountable prevention programs to prevent child maltreatment before it happens. Her organization is committed to open science for social good.
Dyann Daley MD is speaker of the following session:
Chief Analytics Officer
Ash is Chief Analytics Officer at Publishers Clearing House and is responsible for driving AI Driven (Machine &Deep learning) business impact to the business. Ash oversees analytics, algorithm& sciences , and business insights across E/Commerce, Digital Entertainment and PCH Media.
Ash is 2019’s top 100 Data & Analytics innovators, Advisory Board Member to The Rutgers University Big Data Program and various Analytics organizations.
Ash Dhupar is speaker of the following session:
John Elder Ph.D.
Founder & Chair
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, which is a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally attached to Adjunct Professor of Systems Engineering at the University of Virginia.
John Elder Ph.D. is speaker of the following sessions:
Eric J. Felsberg
Principal, Long Island Office
ERIC J. FELSBERG is a Principal in the Long Island, New York office of Jackson Lewis P.C. and the National Director of JL Data Analytics Group.
As the National Director of JL Data Analytics Group, Mr. Felsberg leads a team of multidisciplinary lawyers, statisticians, data scientists, and analysts with decades of experience managing the interplay of data analytics and the law. Under Mr. Felsberg's leadership, the Data Analytics Group applies proprietary algorithms and state-of-the-art modeling techniques to help employers evaluate risk and drive legal strategy.
In addition to other services, the team offers talent analytics for recruitment, workforce management and equity and policy assessments through predictive modeling, partners with employers in the design of data-driven solutions that comply with applicable workplace law, manages and synthesizes large data sets from myriad sources into analyzable formats, provides compliance assessment and litigation support services including damage calculations, risk assessments, and selection decision analyses, and offers strategic labor relations assistance including determination of long term costs of collective bargaining agreements, review of compliance with collectively bargained compensation plans and assessment of the efficacy of training programs. The JL Data Analytics Group designs its service delivery models to maximize the protections afforded by the attorney-client and other privileges.
Mr. Felsberg also provides training and daily counsel to employers in various industries on day-to-day employment issues and the range of federal, state, and local affirmative action compliance obligations. Mr. Felsberg works closely with employers to prepare affirmative action plans for submission to the Office of Federal Contract Compliance Programs (OFCCP) during which he analyzes and investigates personnel selection and compensation systems. Mr. Felsberg has successfully represented employers during OFCCP compliance reviews, OFCCP individual complaint investigations, and in matters involving OFCCP claims of class-based discrimination. He regularly evaluates and counsels employers regarding compensation systems both proactively as well as in response to complaints and enforcement actions.
Mr. Felsberg is an accomplished and recognized speaker on issues of workplace analytics and affirmative action compliance.
While at Hofstra University School of Law, Mr. Felsberg served as the Editor-in-Chief of the Hofstra Labor & Employment Law Journal.
Eric J. Felsberg is speaker of the following session:
Software Architect, Marketing
Michael Finger serves as a Software Architect in Marketing for Overstock.com where he manages the strategic day to day operations of email, promotions, and online marketing/AdTech development teams. In this role, he has implemented ad biddings, browser push, and Button/iBotta affiliate integration.
Michael joined Overstock.com in 2007 as a senior software developer, and his since held several roles during his time with the company. He held roles in software development in both product and finance, where he integrated bitcoin payment on Overstock.com and managed operations for internal search, personalization, and Club O loyalty program development teams.
He received a Bachelor’s Degree in Computer Sciences from the University of Texas at Austin and currently resides in Salt Lake City, Utah. He additionally volunteers with the Salt Lake County Sherriff’s Search and Rescue Team as an Assistant Commander.
Michael Finger is speaker of the following session:
Vice President-Gaming Data Science & Fraud Analytics
Josh Frank works at Caesars as Vice President of Gaming, Data Science, and Fraud Analytics having previously worked in the role of Director of Advanced Analytics. Prior to Caesars he worked at Intuit as Manager of Risk Modeling and Data Sciences. Prior to that Josh worked as a Senior Researcher for the Center for Responsible Lending (a think tank/advocacy organization), as a professor of economics, an economic forecaster for state government, co-founded a non-profit organization, and managed various functions at a top ten credit card issuer. Josh has his Ph.D. in Economics as well as an MBA. Josh has had numerous newspaper/television interviews from major media outlets as well as academic publications.
Josh Frank is speaker of the following session:
Chief Analytics Officer
Bill Franks is Chief Analytics Officer for The International Institute For Analytics (IIA), where he provides perspective on trends in the analytics & big data space and helps clients understand how IIA can support their efforts to improve analytics performance. Franks is also the author of the books Taming The Big Data Tidal Wave and The Analytics Revolution. He is a sought after speaker and frequent blogger who has been ranked a top 10 global big data influencer. His work, including several years as Chief Analytics Officer for Teradata (NYSE:TDC), has spanned clients in a variety of industries for companies ranging in size from Fortune 100 companies to small non-profit organizations. You can learn more at http://www.bill-franks.com.
Bill Franks is speaker of the following session:
Ryohei is the Founder & CEO of dotData. Prior to founding dotData, he was the youngest research fellow ever in NEC Corporation’s 119-year history, the title was honored for only six individuals among 1000+ researchers. During his tenure at NEC, Ryohei was heavily involved in developing many cutting-edge data science solutions with NEC’s global business clients, and was instrumental in the successful delivery of several high-profile analytical solutions that are now widely used in industry. Ryohei received his Ph.D. degree from the University of Tokyo in the field of machine learning and artificial intelligence.
Ryohei Fujimaki is speaker of the following session:
Executive Director of Corporate Training
Michael leads Metis' Corporate Training business, which provides onsite and online training, custom learning paths, and content licensing in data science, data engineering, and artificial intelligence. He comes to Metis from General Electric where he worked to establish their data science strategy and capabilities for field services and to build solutions supporting global operations, risk, engineering, sales, and marketing. Prior to GE, Michael spent several years as a data scientist working on problems in credit modeling at Kabbage and corporate travel and procurement at TRX. Michael holds a Bachelor's degree in Mathematics and a Master's degree in Computational Science and Engineering from the Georgia Institute of Technology where he also spent 3 years working on machine learning research problems related to computational biology and bioinformatics. Additionally, Michael spent 12 years in the United States Marine Corps where he held various leadership roles within aviation, logistics, and training units.
Michael Gavin is speaker of the following session:
Analytic Strategy Partners LLC
Robert L. Grossman is the Managing Partner of Analytic Strategy Partners LLC, which he founded in 2016. From 2002-2015, he was the Founder and Managing Partner at Open Data Group, which built and deployed predictive models over big data for Fortune 500 companies. He is also the Frederick H. Rawson Professor of Medicine, a Professor of Computer Science, and the Jim and Karen Frank Director of the Center for Translational Data Science (CTDS) at the University of Chicago.
Robert Grossman is speaker of the following session:
Alwin holds a Phd in Applied Mathematics and studied in London, Berlin and Amsterdam. His main fields of interest are the modeling of customer purchasing behavior, forecasting and optimization under uncertainty. He is the founder of the Analytics & Data Science consultancy Haensel AMS – Advanced Mathematical Solutions. Most recently, he concentrated on topics such as: omni-channel attribution, personalized recommendations, dynamic pricing, as well as specific data mining and forecasting projects.
Alwin Haensel, Ph.D. is speaker of the following session:
Robert M. Horrobin
AVP of Advanced Analytics and Planning, Retirement Solutions Division
Rob is an experienced change agent and leader of quantitative practices, specializing in the use of data and analysis to help organizations navigate periods of great change. As the AVP-Advanced Analytics and Planning, Rob is focused on analytics and data strategy for the Retirement Solutions Division of Pacific Life. Prior to joining Pacific Life, Rob oversaw the Insurance Operations Optimization & Decision Analytics practice at John Hancock. Rob started this internal consulting practice in 2015 after taking on increasing roles of responsibility in Reinsurance Finance, Corporate Development/Strategy, and Analytics. Before joining John Hancock in 2008, Rob had extensive experience in the shipbuilding industry with a focus on optimizing design for construction efficiency. Rob holds a Bachelor of Mechanical Engineering from the University of Delaware, as well as a Masters of Business Administration from Boston University.
Robert M. Horrobin is speaker of the following session:
President, diwo – Cognitive Decision Making Platform
Krishna’s visionary leadership and delivery of transformational BI and Analytics initiatives to leading Fortune 500's has landed the practice he has founded on the Midwest’s Fastest-Growing list. As CEO of DatafactZ, His passion for Advanced Analytics, Cognitive Technologies and Artificial Intelligence has led to pioneering work. Krishna recently launched diwo, a unique cognitive decision-making platform developed by Loven Systems that reveals hidden business opportunities in real-time and empowers business users to act on them.
Krishna Kallakuri is speaker of the following session:
Head of Data Sciences, Facebook Marketplace Experience
Analytics Leader with 15+ years of experience in driving business solution through innovation, growth hacks and thought leadership in analytics technology/product domain. My work in Predictive Analytics, Informatics, and Visualization is widely recognized in the industry and I have been invited to conferences and top tier universities to speak on topics such as Growth Hacking, Big Data, Machine Learning, Artificial Intelligence and Data Visualization. I am also an active peer reviewer for top machine learning and artificial intelligence conferences and journals. Over the last 10 years, I have worked on launching mega-successful products at Amazon and Facebook.
Nav Kesher is speaker of the following session:
Founder & CEO
Jonathan Klein is Founder and CEO of Ex Parte, a developer of legal analytics that provides companies with data and insight to make smart and informed decisions on the most important legal issues facing an organization. Klein founded Ex Parte in 2017 with the vision to empower corporations with the knowledge they need to make critical decisions such as whether to litigate, settle, where to file suit or which attorney to hire. Prior to founding Ex Parte, Klein held various executive positions at business intelligence leader MicroStrategy over a 17 year period; most recently as President and Chief Legal Officer. He holds a BA in Economics from Amherst College and earned a Juris Doctor of Law from Harvard Law School.
Jonathan Klein is speaker of the following session:
Senior Data Scientist
Dr William Komp is a senior data scientist at SmarterHQ. In addition to marketing analytics he also has experience with healthcare analytics and is an adjunct professor of theoretical physics at the University of Louisville. He was technical editor for Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst by Dean Abbott for J. Wiley and Sons and a peer reviewer for the Canadian Journal of Physics.
William Komp is speaker of the following session:
Formerly Sr Vice President, Performance Analytics Group
Theresa builds world-class teams that make data and the insight it provides vital to marketing and sales organizations. She has built teams across the high tech vertical from Texas Instruments to IBM, Cisco and VMware serving as both a manager and executive in marketing and today as VP of Enterprise Information Management. Theresa held Sr. Director Customer, Intelligence and various Marketing Management roles at IBM, Unify and Texas Instruments. One wish for MO is that all MO organizations should learn to capitalize on their unique view of the customer by working closely with their corporate IT and other business functions. Theresa's pastime is solving the NY Times Crossword puzzle every day.
Theresa Kushner is speaker of the following session:
Senior Geospatial Analyst
Peter Lenz is a geographer and data scientist with Dstillery, a data insights company that builds behavioral profiles from billions of observations of human behavior every day using AI. Specializing in geographic big data and data storytelling, Peter can dive anywhere into the data pipeline from writing code, training models, to discovering insights in the data. He built up skill set working in the urban planning world, first at a consulting firm and later with an agency of the Department of the Interior. A native of New York City, today he and his family live in the Hudson Valley.
Peter Lenz is speaker of the following session:
Head of Solutions Altair Knowledge Works
Chris has 20 years experience as a advanced predictive analytics leader including real-time data mining, text and optimization analytics. Prior to Altair Chris has worked as a consultant for SAS and Infor Epiphany in the area of advanced and real-time predictive analytics with global focus on the Retail Financial Services and Telecommunications businesses.
Chris Long is speaker of the following session:
Chief Executive Officer
Shingai Manjengwa is the Chief Executive Officer at Fireside Analytics Inc., a Toronto based ed-tech start-up that offers customized, cloud-hosted, data science training and consulting services to corporates, governments, and educational institutions. Data Science courses by Fireside Analytics have over 285,000 registered learners on platforms like IBM's CognitiveClass.ai and Coursera.
An IBM Influencer, author and NYU Stern alumni, Shingai is also the founder at Fireside Analytics Academy, a Ministry of Education inspected private high school in Canada (BSID: 886528). Fireside Analytics Academy only offers one course, IDC4U - Data Science. The course is completely online, and learners earn a credit towards their high school diploma. The course uses real-life case studies to combine 3 disciplines: Business Studies, Computer Programming, and Statistics to teach high school students how to solve problems with data. The curriculum is now available in 3 private high schools in Canada.
Shingai Manjengwa is speaker of the following session:
Senior Partner, Co-leader Mercer Workforce Sciences Institute
Haig R. Nalbantian is a Senior Partner at Mercer and a founder/leader of Mercer's Workforce Sciences Institute. A labor /organizational economist, he has been instrumental in developing Mercer's unique capability to measure the economic impact of human capital practices. Those capabilities have been applied in numerous projects he has directed for leading companies in the U.S. and abroad across a broad range of industries, including energy, high technology, manufacturing, consumer products, financial services, media and information services, telecommunications, and professional services. He has also consulted to organizations in the public and not-for-profit sectors. In recent years, Haig has worked extensively with high-profile organizations in the Middle East, with particular focus on strategic workforce planning, workforce strategies and metrics.
Haig came to Mercer from National Economic Research Associates which he joined in 1989. Earlier, he was on the faculty of economics at New York University and was a research scientist at its C.V. Starr Center for Applied Economics. He is an internationally recognized expert in incentives, human capital measurement and management and their links to organizational performance. He has published widely on these topics in books and articles in leading academic and professional journals, such as the American Economic Review, The Journal of Labor Economics, The Harvard Business Review, Compensation and Benefits Review, WorldatWork, among many others. His HBR article, "Making Mobility Matter," received the Academy of Management's 2010 award for "Outstanding Practitioner-oriented Publication" in 2009.
Nalbantian co-authored the prize-winning book on human capital measurement and management, Play to Your Strengths (McGraw Hill, 2004). He is also editor of and chief contributor to the book, Incentives, Cooperation and Risk Sharing and is a frequent speaker before industry groups, professional associations and academic audiences across the globe. He led the research team and co-authored the 2012 World Economic Forum/Mercer study of global talent mobility, "Talent Mobility Good Practices: Collaboration at the Core of Driving Economic Growth."
Haig earned his BA in English and Economics at New York University and his graduate degrees in economics from Columbia University. He is a member of the American Economic Association.
Haig Nalbantian is speaker of the following session:
Trained originally in Ecosystem Analysis & Modeling, Dr. Nisbet modeled forests at the University of California, Santa Barbara. He moved to NCR in 1994, developing configurable data mining applications for customer Churn, Propensity-to-buy, and Customer Acquisition in Telecommunications. He has worked also in Insurance, Banking, Credit, membership organizations (e.g. AAA), and Health Care industries. He is lead author of the award-winning Handbook of Statistical Analysis & Data Mining Applications (Academic Press, 2009, 2017), and a co-author and general editor of the award-winning "Practical Text Mining" (Academic Press, 2012) and Practical Predictive Analytics and Decisioning Systems in Medicine (Academic Press, 2015). A new book on Effective Data Preparation is available from with Cambridge University Press. Currently, he serves as an Instructor in the University of California at Irvine Predictive Analytics Certificate Program, teaching many online and on-campus courses each year in Effective Data Preparation and Predictive Analytics Applications.
Bob Nisbet is speaker of the following session:
Sales Analytics Lead
Padrum Panbechi is the Sr. Manager of the Corporate Sales Operations Team at Southwest Airlines where he oversee the ownership surrounding the teams data sources and analytics. Padrum has been part of the Southwest Airlines Sales & Marketing teams for the past 13 years holding a variety of roles including Account Management, Marketing Planning, and most recently leading a team of sales analyst that were focused on translating the analytics to meaningful insights that the account management team would leverage to deepen engagement with their corporate partners.
Padrum Panbechi is speaker of the following session:
Director Data Management
Every year, corporations spend more than $250B on litigation in the US. The critical decisions - whether to litigate or settle or where to file suit - are often made the same way they were 100 years ago. To gain insight that companies could use to make informed decisions on legal proceedings, we built a predictive analytics engine. The approach, combining minimal viable prediction with data from thousands of patent appeal cases over 10 years, was developed to predict outcomes in future patent appeal cases. We think of it like Moneyball, but for a market 20x the size of Majors.
Timothy Park is speaker of the following session:
Brian Pearson has led dynamic IT organizations for startup, growth, franchise, and mature public restaurant companies. Brian’s IT development began in the US Army, where he studied cryptography and telecommunications management. He has also led the technology organizations for Ruby’s Diner, BJ’s Restaurants, and recently STACKED Restaurants, LLC.
At both Ruby’s Diner and BJ’s Restaurants, Brian had to build solutions from the ground up, integrating POS, KDS, HRIS, ERP and numerous other in store and above store technologies to achieve the company's strategic agenda. At BJ’s he also led the Sarbanes-Oxley, and PCI implementations from ground up.
Brian is an IT leader with a foundation in, and bias towards, Operations. His specialties include Mobile Strategy and Development, Business Process Automation, Product Integration and Analytics.
Brian Pearson is speaker of the following session:
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.
Daniel Porter is speaker of the following session:
VP of Machine Learning
Jennifer has spent most of her career creating a data-driven culture wherever she went, succeeding in sometimes highly skeptical environments. She is particularly skilled at building and scaling high-performance Machine Learning teams, and is known for enjoying a good challenge. Trained as a particle physicist, she likes to use her analytical mind not only when building complex models, but also as part of her leadership philosophy. She is pragmatic yet detail-oriented. Jennifer also takes great pleasure in addressing both technical and non-technical audiences at conferences and seminars, and is passionate about attracting more women to careers in STEM.
Jennifer Prendki is speaker of the following session:
Jennifer Lewis Priestley
Professor of Applied Statistics and Data Science
Dr. Jennifer Lewis Priestley, Ph.D., is a Professor of Applied Statistics and Data Science at Kennesaw State University, where she is the Director of the Center for Statistics and Analytical Services. She oversees the Ph.D. Program in Advanced Analytics and Data Science, and teaches courses in Applied Statistics at the undergraduate, Masters and Ph.D. levels. In 2012, the SAS Institute recognized Dr. Priestley as the 2012 Distinguished Statistics Professor of the Year. She served as the 2012 and 2015 Co-Chair of the National Analytics Conference. Datanami recognized Dr. Priestley as one of the top 12 "Data Scientists to Watch in 2016."
She has authored dozens of articles on Binary Classification, Risk Modeling, Sampling, Applications of Statistical Methodologies for Problem Solving as well as several textbook manuals for Excel, SAS, JMP and Minitab. Prior to receiving a Ph.D. in Statistics, Dr. Priestley worked in the Financial Services industry for 11 years. Her positions included Vice President of Business Development for VISA EU in London, where she was responsible for developing the consumer credit markets for Irish and Scottish banks. She also worked for MasterCard International as a Vice President for Business Development, where she was responsible for banking relationships in the Southeastern US. She also held positions with AT&T Universal Card and with Andersen Consulting.
Dr. Priestley received an MBA from The Pennsylvania State University, where she was president of the graduate student body, and a BS from Georgia Tech. She also received a certification from the ABA Bankcard School in Norman, OK, and a Certification in Base SAS Programming, and a Business Analyst Certification from the SAS Institute.
Jennifer Lewis Priestley is speaker of the following session:
Director of Data Science
Nick Pylypiw is a Manager of Data Science at Elicit, a high-end boutique consultancy that helps clients leverage analytics and technology to drive business value. The company’s Fortune 500 clients include Southwest Airlines, HomeAway, Fossil, GameStop, Sephora, BevMo! and Pier 1 Imports. Prior to Elicit, he honed his analytics skills at Lowe's Home Improvement (Manager of Pricing and Marketing Analytics) and Cardinal Solutions (Principal Data Science Consultant). He lives in Raleigh, North Carolina.
Nick Pylypiw is speaker of the following session:
Lead Data Scientist
Lily is a Lead Data Scientist at Humana Military, where she uses predictive analytics and visualization to help business leaders make better strategic decisions and to improve the customer journey for Humana Military's beneficiaries, who are active duty service members of the military and their dependents. Previously, she was an Analytics Lead at Barclays Investment Bank, where she led the proof of concept and implementation of various cross-functional initiatives ranging from a recommendation system for the Sales team to a self-service Tableau platform for the Risk and Finance teams. When not immersed in data, Lily thinks about ticking off the next item on her growing bucket list. Next up: training for her first sprint triathlon.
Lily has a bachelor's degree in Computer Science from the University of the Philippines and a Master of Science in Business Analytics from New York University's Stern School of Business.
Lily Quinto-Banton is speaker of the following session:
Principal, Workforce Strategy & Analytics
Tauseef Rahman is a principal in Mercer's Workforce Strategy & Analytics practice. He is responsible for developing and delivering projects which enable organizations for growth through the use of analytics which combine engagement, career, and rewards information.
Currently based in San Francisco, he has also been based in Mercer's Los Angeles, Dubai, Melbourne and Houston offices.
His recent projects include the integration of an annual pay equity analysis into a company’s yearly business cycle for a global consumer technology company, and an employee survey using conjoint analysis which resulted in changes to parental benefits at a global financial services and investments company.
Tauseef has presented at industry conferences, including WorldatWork Total Rewards and National Association of Stock Plan Professionals on the use of analytics in pay, and regularly speaks at forums on the future of work and the implication of artificial intelligence on the workforce.
Tauseef holds a bachelor's degree in economics from Claremont McKenna College, in Claremont, California.
Tauseef Rahman is speaker of the following session:
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.
Steven Ramirez is speaker of the following sessions:
Karl Rexer founded Rexer Analytics in 2002. He and his teams provide predictive modeling and analytic consulting to clients across many industries. Recent clients include PwC, Boston Scientific, Redbox, ADT
Security, Interamericana University, MIT, A.S.Watson, and many smaller companies. In addition to leading client engagements and hands-on data work, Karl is a predictive analytics evangelist, frequently speaking at conferences, colleges, and other events. He also serves on Advisory Boards for the Business Analytics programs at both Babson College and Bentley University. Several software companies have sought Karl's input, and in 2008 and 2010 he served on SPSS's (IBM) Customer Advisory Board. He also served 11 years on the Board of Directors of the Oracle Business Intelligence, Warehousing, & Analytics (BIWA) Special Interest Group. Since 2007 Rexer Analytics has conducted surveys of analytic professionals, asking them about their algorithms, tools, behaviors and views. Summary reports from these surveys are available as a free download from the Rexer Analytics website.
Prior to founding Rexer Analytics, Karl held leadership positions at several consulting firms and two multi-national banks. Karl holds a PhD from the University of Connecticut.
Karl Rexer is speaker of the following sessions:
Anne G. Robinson
Chief Strategy Officer
As Chief Strategy Officer, Anne is responsible for accelerating Kinaxis strategy development to add further value to customers. She and her team collaborates closely with customers, external stakeholders and the rest of the senior executive team to drive the strategic roadmap, thought leadership and identify emerging technologies and new industry opportunities.
A proven leader in analytics and digital transformation, with expertise in operations, supply chain, and strategy, Anne has extensive experience in managing supply chains for complex, global organizations. As Executive Director, Global Supply Chain Strategy, Analytics and Systems at Verizon, Anne was responsible for the strategic vision of the company’s global end-to-end supply chain, driving excellence through world-class data-analytics, process innovation and employee empowerment. Before Verizon, Anne spent several years at Cisco where she was responsible for managing advanced analytics, business intelligence and performance management teams.
Anne is a past president of INFORMS (the Institute for Operations Research and Management Sciences), a seasoned industry speaker and has served on several advisory boards. Originally from St. John's, Newfoundland and Labrador, Anne has a BScH from Acadia University, MASc from the University of Waterloo and an MSc and PhD in Industrial Engineering from Stanford University.
Anne G. Robinson is speaker of the following session:
Director of Data and Audience
Chris Robison serves as Director of Data and Audience working to unite data flow and Data Science for a cross-channel marketing experience driven by real-time data. Previously, as the Lead Data Scientist for Digital Marketing and Fraud Prevention at Overstock, he and his team utilized big data and machine learning to create personalized shopping experiences for customers. He works extensively on display, PLA, and Paid Keywords leveraging modeling techniques from classical time series to cutting-edge Artificial Intelligence.
Prior to joining Overstock in 2016, Chris gained widespread experience at early-stage startups using Spark and building out data science frameworks and solutions. He graduated from the University of Utah with dual Masters Degrees in Computer Science and Statistics.
Chris Robison is speaker of the following session:
Director, Data Science and Audit Analytics
Allan Sammy, M.Sc., CPA, CIA is the Director, Data Science and Audit Analytics at Canada Post . He works with Internal Audit clients across the corporation to provide assurance and advisory services relating to advanced analytics and data modeling and leads the development of big data capabilities and utilization as well as the coordination of IA department analytic initiatives. He has a Master's degree in Predictive Analytics from Northwestern and over 20 years of experience in Risk Management, Investigations and Internal Audit. Prior to joining Canada Post he was Director, Fraud Risk Management at the Ontario Lottery and Gaming Corporation and the Head of Internal Audit at the Canadian Air Transport Security Authority (CATSA). He has published articles on Auditing Analytic Models (IA Magazine) and using Artificial Intelligence and Neural Network Models for Fraud Ddetection (Certified Fraud Examiners (CFE) magazine online).
Allan Sammy is speaker of the following session:
Director of Data Science
Insight Que Solutions
Dan has 15+ years experience in Data Science, Business Intelligence, Data Analytics, and developing Data-Driven Strategy for organizations. In addition, Dan has led and managed Data Science and Analytics practices for organizations. Dan has worked in retail, Finance, and Auto leading analytics and Data Science and modeling practices supporting business strategies for in-house and consultations for the client such as Four Seasons, AAA, Verizon, etc. Dan has a Ph.D. in Media Information Studies from Michigan State University.
Dan Sarkar is speaker of the following session:
Senior Vice President Revenue Management and Analytics
Mark W. Shafer, Senior Vice President of Revenue Management & Analytics for Disney Parks, Experiences & Consumer Products has been a Disney cast member for 23 years.
His responsibilities include leading an Internal consulting team responsible for supporting clients across The Walt Disney Company including Parks and Resorts, Media Networks (e.g., ABC, ESPN, Disney Channel, A&E Networks etc.), and Studio Entertainment (The Walt Disney Studios, Disney Theatrical). This support encompasses system development leveraging technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. These solutions span across business problems such as Marketing ROI, Ad Sales Optimization, B to B and B to C pricing, revenue management, ratings forecasting, digital viewership forecasting, demand simulation, and personalization.
Mark spent 12 years in the airline industry with People Express Airlines and Continental Airlines, holding positions in Domestic and International Pricing/Revenue Management.
Mark Shafer is speaker of the following session:
Former Senior Data Scientist, Apple, and joining Microsoft soon
Mohammad is a Senior Data Scientist and Lecturer at Stanford University, and the co-founder of MedicalBlockchain.ai. He worked at Apple in California for 4 years, Samsung, Bosch, General Electric Research and UCLA on predictive modeling projects. He received a PhD in Computer Science from the University of California, Riverside and B.Sc. from University of Tehran. Mohammad is the author of the book, ‘Applications of Mining Massive Time Series Data'. He has also been a keynote speaker at more than 30 Data Summits/Conferences around the globe.
Mohammad Shokoohi-Yekta is speaker of the following session:
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 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.
Eric Siegel is speaker of the following session:
Chief Social Scientist
Connected Action Consulting Group
Dr. Marc A. Smith is a sociologist specializing in the social organization of online communities and computer mediated interaction. Smith leads the Connected Action consulting group. Smith co-founded the Social Media Research Foundation (http://www.smrfoundation.org/), a non-profit devoted to open tools, data, and scholarship related to social media research. He contributes to the open and free NodeXL project (http://nodexl.codeplex.com) that adds social network analysis features to the familiar Excel spreadsheet. NodeXL enables social network analysis of email, Twitter, Flickr, WWW, Facebook and other network data sets. Along with Derek Hansen and Ben Shneiderman, he is the co-author and editor of Analyzing Social Media Networks with NodeXL: Insights from a connected world, from Morgan-Kaufmann which is a guide to mapping connections created through computer-mediated interactions. Smith has published research on social media extensively, providing a map to the landscape of connected communities on the Internet.
Marc Smith is speaker of the following session:
Peter is an entrepreneurial minded data scientist whose expertise in building analytic solutions and insights to tell data driven stories have impacted organizations including Alibaba, Citrix and Lyft. Peter has lead experimentation design and analytics projects focused on retention, user acquisition and channel optimization in the SaaS and rideshare spaces. The solutions he has produced include incrementality testing, segmentation, ML models and fraud. Peter is a passionate advocate for building analytics teams in cross-functional environments.
Peter Spangler is speaker of the following session:
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.
Patrick Surry is speaker of the following session:
Vice President, Data Science Manager
Nathan Susanj is a data scientist on the Wells Fargo Enterprise Analytics and Data Science team. He leads a small team as head of Natural Language Processing (NLP) and Speech Capabilities Development, where he is focused on building out Wells Fargo's capabilities in areas related to NLP, deep learning and data science product design. Nathan holds a Masters in Predictive Analytics from Northwestern University and is working on his second Masters in Computer Science from Georgia Tech. He has been with Wells Fargo for the past five years and worked in marketing analytics prior to his current role.
Nathan Susanj is speaker of the following session:
James Taylor is the CEO of Decision Management Solutions and is a leading expert in how to use business rules and analytic technology to build decision management systems. He is passionate about using decision management systems to help companies improve decision-making and develop an agile, analytic and adaptive business. He provides strategic consulting to companies of all sizes, working with clients in all sectors to adopt decision-making technology. James is an expert member of the International Institute for Analytics and is the author of multiple books and articles on decision management, decision modeling, predictive analytics and business rules, and writes a regular blog at JT on EDM. James also delivers webinars, workshops and training. He is a regular keynote speaker at conferences around the world.
James Taylor is speaker of the following sessions:
James Taylor is moderator of the following session:
Nathan Patrick Taylor
Nathan Patrick Taylor is currently serving as a Customer Facing Data Scientist at DataRobot. Prior to joining DataRobot, Nathan was the Director of Data Science and Analytics at Symphony Post-Acute Network. His projects ranged from producing clinical intelligence dashboards to developing and integrating predictive models into electronic health record system workflows. While at Symphony, Nathan was named a “Data Science Superhero” by DataRobot.
Nathan was invited to lead the Healthcare User Group at Alteryx, a role he still holds today, and is a Core Certified Alteryx user. He is also an AHIMA Certified Health Data Analyst and a HIMSS Certified Professional in Healthcare Information and Management Systems.
Nathan completed his Bachelor of Science in Computer Science at Huntington University. He also holds a Master of Public Health and Master of Science in Management Information Systems, both from Benedictine University where he serves as a senior lecturer in the graduate business analytics program. Nathan is currently working on his PhD in Health Science at Northern Illinois University.
Nathan Patrick Taylor is speaker of the following sessions:
SVP, Chief Data and Analytics Officer
Thomas M. Warden joined EMPLOYERS as Senior Vice President, Chief Data and Analytics Officer on May 22, 2017. He is responsible for data science, business intelligence and data governance across the company. He works closely with business partners and information technology to improve revenues and profitability through the application of predictive modeling, analytics and business intelligence to decision making. Mr. Warden brings to EMPLOYERS 30 years of insurance industry experience from Allstate, AIG and private consulting. Mr. Warden holds a Bachelor of Science degree in Accounting from The Ohio State University and an MBA from Harvard University. He is a Chartered Financial Analyst and is a member of the board of directors of Junior State of America.
Tom Warden is speaker of the following session:
Content Manager, Data Science and Business Analytics
Steve Weiss is content manager for the Data Science and Business Analytics course libraries at LinkedIn Learning/Lynda.com. His focus is on developing learning resources that support LinkedIn's mission in connecting the world's professionals to make them more productive and successful. He spends a lot of time building a growing network of top tech experts who have a passion for teaching; tracking an exponentially growing group of topic and sub-topic areas; and interacting with the members of the data science and analytics community to help them get sh*t done in the name of science, logical thinking, and improving the world we share and live in.
Steve Weiss is speaker of the following session: