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Speakers Predictive Analytics World Chicago 2014
 Dean Abbott

Dean Abbott

Co-Founder and Chief Data Scientist

SmarterHQ

@deanabb

Dean Abbott is Co-Founder and Chief Data Scientist of SmarterHQ, and President of Abbott Analytics, Inc. in San Diego, California. Mr. Abbott is an internationally recognized data mining and predictive analytics expert with over two decades of experience applying advanced data mining algorithms, data preparation techniques, and data visualization methods to real-world problems, including fraud detection, risk modeling, text mining, personality assessment, response modeling, survey analysis, planned giving, and predictive toxicology.


Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and co-author of IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a highly-regarded and popular speaker at Predictive Analytics and Data Mining conferences and meetups, and is on the Advisory Boards for the UC/Irvine Predictive Analytics Certificate as well as the UCSD Data Mining Certificate programs.


He has a B.S. in Mathematics of Computation from Rensselaer (1985) and a Master of Applied Mathematics from the University of Virginia (1987).

Case Study: Data Preparation from the Trenches: 4 Approaches to Deriving Attributes
Workshop: Advanced Methods Hands-on: Predictive Modeling Techniques

 Sweta Agrawal

Sweta Agrawal

Director, Analytics Centre of Excellence

Starcom Mediavest Group, India

Sweta Agrawal works with Starcom Mediavest Group's Analytics Centre of Excellence in India, driving analytical solutions for brands like Coca Cola, Samsung, Axis Bank, and Kotak Mahindra Bank. She has over 4 years of analytics experience in statistical analysis and predictive modeling. She has worked in the banking and IT sector in driving analytics for CRM initiatives. Her previous roles with Citibank and Hewlett Packard involved projects spanning purchase behavior, customer experience and social media analytics. Her previous works have been presented at the International Conference on Information & Communication Technologies & Applications 2011, Orlando and Predictive Analytics World 2012, Chicago. Sweta has a degree in Economics, and specialized in Quantitative Economics from the Indian Statistical Institute, Kolkata.

Case Study: Convergence Modeling across Paid, Owned and Earned Media to Measure Business Effectiveness

 Tom  Allenburg

Tom Allenburg

Vice President, Data Analytics & Marketing Solutions

UnitedHealthcare Medicare & Retirement

Tom is responsible for improving strategy and execution through data-driven insights, sound measurement strategies and flawless marketing operations across the Medicare & Retirement businesses.

In this role, he oversees teams of professionals in the areas of decision science, database management and technology, campaign list execution and quality management.

Prior to joining Medicare & Retirement in 2003, Tom spent eight years with Carlson Marketing Group where he managed marketing analytics and measurement consulting services for clients such as Visa, British Airways, Mazda and others. He also worked for AT&T Universal Card Services as a statistician performing predictive model development, test design and quantitative market research.

Tom holds a M.S. degree in Statistics from Virginia Tech and a B.A. in Mathematics from St. Olaf College.

Case Study: A White-box Approach to Marketing Mix Analytics

 Peter Amstutz

Peter Amstutz

Analytic Strategist

Carmichael Lynch

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

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

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

Case Study: Uplift Modeling and Beyond

 Francisco Javier  Arceo

Francisco Javier Arceo

Sr. Quantitative Anayst - Science

AIG

Francisco joined AIG in 2012 after working as a quantitative analyst with Ipsos - a global market research company.

Francisco has spent the past three years using both predictive and explanatory statistical models to solve a myriad of business problems.

He is currently a Senior Quantitative Analyst with the AIG Science team. He received his Masters in Economics & Statistics from Clemson University in the Fall of 2011.

Session: Predictive Analytics in Insurance

 Natasha Balac, Ph.D.

Natasha Balac, Ph.D.

CEO and Founder

Data Insight Discovery, Inc

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

Case Study: Sensor Streams: Big Data Predictive Analytics

 Aarti  Bharadwaj

Aarti Bharadwaj

Vice President, Analytics Centre of Excellence

Starcom Mediavest Group, India

Aarti Bharadwaj leads the Analytics practice for Starcom Mediavest Group in India, which provides analytics consulting to clients across India and South-East Asia. She has worked on marketing and media analytics for the past 4 years across brands like GSK, Kelloggs, HSBC, Castrol, Axis Bank, Coca Cola and Samsung. She has also worked in GroupM India driving the use of analytics to derive marketing insights for key clients. Prior to that, she has used quantitative techniques in research in the areas of Development Economics and Energy Economics. Her published work includes papers on demand forecasting for electricity, intellectual property rights and their impact on the economy. Aarti has a rich 12 years of experience in quantitative sciences, including research and teaching. She has a degree in Mathematics, and has specialized in Quantitative Economics from Indian Statistical Institute, Delhi.

Case Study: Convergence Modeling across Paid, Owned and Earned Media to Measure Business Effectiveness

 Jay Bhatt

Jay Bhatt

Chief Health Officer

Illinois Hospital Association

Jay Bhatt serves as the first Chief Health Officer at the Illinois Hospital Association. In this role he helps the 200 hospitals and 50 health systems transform, achieve the triple aim, and be positioned to succeed in this era of reform. Most recently, he was Managing Deputy Commissioner and Chief Innovation Officer for the Chicago Department of Public Health (CDPH). There he lead the implementation of innovations in cross-sector partnerships, predictive analytics, chronic disease and informatics earning numerous national recognition. He also is a practicing internal medicine physician for Erie Family Health Center in Chicago serving vulnerable populations and is a member of the Feinberg School of Medicine at Northwestern faculty.

In 2006-07 he served as the National President of the American Medical Student Association (AMSA) where he led advocacy efforts around the National Health Service Corps. Dr. Bhatt led the development of the AMSA PharmFree Scorecard in 2007 helping change the culture of conflict of interest in academic medical centers.

He graduated from the University of Chicago in 1999 with a degree in Economics. In 2008, Dr. Bhatt received both his medical degree from the PCOM, and his Master in Public Health degree from the University of Illinois at Chicago School of Public Health. In 2012 he received his Masters in Public Administration from the Harvard Kennedy School of Government as a Zuckerman Leadership Fellow and Mongan Commonwealth Fund/Harvard Minority Health Policy Fellow.

Case Study: Transforming Food Inspections Using Predictive Analytics

 J. Michael Boyle

J. Michael Boyle

Co-Founder

The Sports Analytics Institute

Mike has more than 13 years of Analytics, Business Intelligence and Information Technology experience spanning multiple industries. He is an Assistant Professor of Information Systems in the David Eccles School of Business at the University of Utah where he teaches courses on the application of analytics and related technologies within organizations. He speaks at industry conferences and leading universities covering topics from Sports Analytics and Information Systems. He is also an analytics consultant helping organizations define and execute on their analytics strategies and programs. During his career in industry, he has held consulting, management and executive positions in Analytics, Engineering and Product Management. Mike has a Master of Science from DePaul University and a Bachelor of Mathematics from the University of Waterloo.

Case Study: Using Sports to Teach Analytics

 Peter Bradford

Peter Bradford

Vice President, Certification, Product Development and Management Association, Worldwide Product Management Profession Leader

IBM

Peter Bradford is a Program Manager for the Development ETI, the corporate team in Value Services which helps replicate best practices and insight across development by applying analytics to the management of development activities. He is currently engaged in multiple projects, including the design of a development expense baseline.In addition to helping launch and drive operations for the Dev ETI effort, he has hosted a cross-divisional best practices session on Portfolio Management in 2011, which provided an opportunity for senior development leaders to exchange ideas in support of their 2015 Roadmap goals for development.He continues to lead the Process Excellence community which he helped found with several \"Wave 1\" instructors and graduates of the CIO Lean Six Sigma Black Belt education. The community serves a growing membership of over 1,000 IBM practitioners worldwide.

Case Study: Optimizing Resource Allocation to Increase the Efficiency of Software Development

 Tiziano Cembali

Tiziano Cembali

Senior Director

Aspen Marketing Services

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

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

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

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

Case Study: Next Best Activity Powered by Predictive Modeling

 Domenick  DiCicco

Domenick DiCicco

SVP, Head of Global Claims Litigation

AIG

Domenick joined AIG in 2012 from his position as Executive Director of North American Insurance Services at Xchanging. He had previous leadership and strategy roles for such organizations as CNA Insurance, Zurich Financial Services, and Alexander Gallo Holdings. Throughout his career, he has been responsible for the creation and execution of strategies that assure the most efficient delivery of legal services for Fortune 500 companies. A recognized industry leader, Domenick serves as Chairman Emeritus of the CLM, Member of the Board of the Business School of NJIT, is an adjunct Professor of Finance at NJIT, and is also an adjunct Professor of Insurance Law and Regulation at Temple Law School. Domenick holds a J.D. from Delaware Law School, an MBA from Pennsylvania State University, and a Chartered Merger and Acquisition Professional designation, as well as being a current Masters Candidate in Economic Development from the University of Pennsylvania.

Case Study: Predictive Analytics in Insurance

Dr. John Elder, Ph.D.

Dr. John Elder, Ph.D.

Founder & Chair

Elder Research

@johnelder4

John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina, Washington DC, and London. 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.

Special Plenary Session:
The Peril of Vast Search (and How Target Shuffling Can Save Science)
Workshop:
The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes

 Mike Feldner

Mike Feldner

Geography Head

Mu Sigma

Mike has spent the last 13 years leading teams that leverage data to develop and deliver an improved customer experience. As Geography Head at Mu Sigma, Mike is responsible for people development, thought leadership and client delivery in the Midwest and Southeast.

Prior to joining Mu Sigma, Mike led the Loyalty and CRM group at Walgreens. In this role, he was responsible for loyalty marketing, customer analytics and customer strategy development.

Mike received his Bachelor's Degree in Political Science from the University of Dayton in 1999 and an MBA from the Kellogg School of Business, Northwestern University in 2004.

Case Study: A White-box Approach to Marketing Mix Analytics
Expert Panel : Necessary Skills of the Quant: Finance, Fraud, and Marketing

 Kaiser Fung

Kaiser Fung

VP, Business Intelligence

Vimeo

Kaiser Fung is Senior Data Advisor at Vimeo. He provides training and advisory services in business analytics and data visualization.

Previously, he held leadership roles in building and managing data teams for SiriusXM Radio, American Express, [X+1] (ad tech), and Sonus Networks. He is the creator of the popular Junk Charts blog (http://junkcharts.typepad.com/junk_charts), which pioneered the genre of critically examining graphics in the media; and author of Numbers Rule Your World and Numbersense, both published by McGraw-Hill.

He has an MBA from Harvard Business School, and holds engineering and statistics degrees from Princeton and Cambridge. He is also an adjunct professor at New York University.

Keynote: Big Data and Numbersense: The Secret Ingredient to Great Analytics
Expert Panel: Necessary Skills of the Quant: Finance, Fraud, and Marketing

 Gitali Halder

Gitali Halder

Analytics Manager

Hewlett-Packard

Gitali Halder is a Data Science Lead in Americas Region, Hewlett-Packard Enterprise. She has 10 yrs of Analytics experience in statistical analysis and predictive modeling in Banking, Credit Cards, Retail and IT industries.

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.

Case Study: Customer Analytics in Action: Alternative Approaches to Customer Targeting for Marketing Campaign

 Fady Harfoush

Fady Harfoush

Director, FSBA Lab, Quinlan School of Business; Co-Founder

Social Market Analytics

Fady Harfoush is Director of the FSBA Lab at Quinlan School of Business and co-founder of Social Market Analytics. Prior to that, Fady held the position of Director of Data Analytics for Thomson-Reuters, a leading provider of multiple aggregated financial data. SMA award-winning sentiment signature distills the vast social media data into actionable intelligence by providing real-time predictive analysis for trading algorithms and business insights. Fady began his career at Fermi High Energy Physics Laboratory. After a successful period of proven accomplishments he decided to transition to Wall Street. His new career quickly earned him credibility in the field. He has held numerous prominent roles at prestigious hedge fund firms, major financial institutions and leading financial data providers. Fady earned his Ph.D. in Electrical Engineering from Northwestern University in Illinois. He completed his B.S. in Electrical Engineering from Robert College in Turkey. Fady speaks fluently four languages.

Case Study: Using Social Media Analytics in Trading Strategies

 John Hassman

John Hassman

Director, Digital and Marketing Analytics

United Stationers

John Hassman is Director, Digital & Marketing Analytics for United Stationers, Inc (Nasdaq- USTR), a leading North American wholesale distributor of business products, with 2012 net sales of over $5.0 billion.Prior to joining United Stationers, John managed the Customer Insight Group at OfficeMax, Inc. and has held various management positions at Fortune 500 companies. His experience covers a wide range of industries including retail, wholesale/distribution and consulting.John has an under graduate degree in strategic Marketing and Economics from the University of Wisconsin-Green Bay and a graduate degree in Marketing from Keller Graduate School in Lincolnshire, IL.

Case Study: Accurate Forecasts Using Predictive Analytics

 Thomas Hill, Ph.D.

Thomas Hill, Ph.D.

Executive Director Analytics

Dell Software Group

Dr. Thomas Hill is Executive Director for Analytics at Dell Software Group. He joined Dell through the acquisition of StatSoft Inc. in April 2014, where he had been Senior Vice President for Analytic Solutions for over 20 years and was responsible for building out Statistica into a leading analytics platform. Dr. Hill received his Vordiplom in psychology from Kiel University in Germany and earned an M.S. in industrial psychology and a Ph.D. in psychology and quantitative methods from the University of Kansas. He was on the faculty of the University of Tulsa from 1984 to 2009, where he conducted research in cognitive science and taught data analysis and data mining courses. He has received numerous academic grants and awards from the US National Science Foundation, the National Institute of Health, the Center for Innovation Management, and other institutions. Over the past 20 years, his team has completed diverse consulting projects with companies from practically all industries and has worked with leading financial services, insurance, retailing, manufacturing, pharmaceutical, healthcare, and other companies in the United States and internationally on identifying and refining effective predictive modeling solutions for a broad scope of applications. Dr. Hill has published widely on innovative applications for data mining and predictive analytics and is also the author (with Paul Lewicki, 2005) of "Statistics: Methods and Applications," the "Electronic Statistics Textbook" (a popular on-line resource on statistics and data mining), and a co-author of "Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications" (2012) and "Practical Predictive Analytics and Decisioning Systems for Medicine" (Elsevier/Academic Press, 2014). Hill is also a contributing author to the popular "Handbook of Statistical Analysis and Data Mining Applications (2009)."

Sponsor Presentation :From Quality Control and Reacting to Predictive Quality Control and Pre-Acting

 Matt James

Matt James

Senior Director, Strategy & Analytics

Redbox

Matt leads the Strategy & Analytics team at Redbox which is responsible for using analytics to make decisions on the highest value issues at the company - including international growth, network strategy/site selection, product mix optimization, and new business opportunities. The team is also responsible for all inventory/merchandising decisions - developing the analytics to drive the initial assortment of each title and optimizing inventory over its life in the network.

Prior to joining Redbox, Matt led consulting teams at Bain & Company and Marakon, advising clients across a variety of industries on growth strategy. Matt received his MBA from the Kellogg School of Management at Northwestern University and his BA from Northwestern University.

Case Study: Improving Store-Level Test & Control Methodology at Redbox

 Nick Kadochnikov

Nick Kadochnikov

Program Manager, Business Analytics Transformation

IBM

Nick Kadochnikov is Executive Program Manager within IBM Business Analytics Transformation team. Over the last 15 years Nick has completed numerous analytical projects covering multiple areas of the business, such as Marketing, Sales, Product Development and Finance. His work has ranged from improving the effectiveness of marketing campaigns, to optimizing sales resource allocations, to increasing efficiency of software development processes. Nick was responsible for multiple analytical initiatives within IBM, utilizing advanced data mining techniques, building econometric models, and working with Big Data, including: Client Wallet estimates, Segmentation, ROI for Smart, Propensity to Buy models and Development Productivity.

Case Study: Optimizing Resource Allocation to Increase the Efficiency of Software Development

 Taly Kanfi

Taly Kanfi

Manager, Strategy & Analytics

Redbox

Case Study: Improving Store-Level Test & Control Methodology at Redbox

 Tom Kern

Tom Kern

Risk Modeling Manager

Paychex, Inc.

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

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

Case Study: Combat Client Churn with Predictive Analytics

 Jason Levin

Jason Levin

Vice President of Institutional Research

Western Governors University

Jason is responsible for primary research, business intelligence, and analytics. His primary professional interest is using data analytics to increase completion rates in post-secondary education.

Jason has a MBA from the University of Miami and a BS from Florida Atlantic University.

Case Study: Using Machine Learning to Improve Student Success

 Douglas Miller

Douglas Miller

VP, Analytics

Rocket Fuel

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

Case Study: Uplift Modeling and Beyond

 Syrus  Nemat-Nasser

Syrus Nemat-Nasser

Principal Scientist

Lytx

Syrus has a decade of professional experience in data-driven machine learning and predictive analytics. He serves as Principal Scientist at Lytx where he and his team develop decision algorithms and predictive models that support driver risk management, driver performance assessment, and driver identification.

He also directs research and development activities to enhance and extend in-vehicle sensing and prediction capabilities and server-side prediction algorithms.

Syrus has a Ph.D. in Physics from UCSD and a B.S. in Physics from Stanford University.

Case Study: Beyond Telematics: Using Data to Predict the Future

 Niel Nickolaisen

Niel Nickolaisen

Chief Information Officer

Western Governors University

Niel Nickolaisen is the CIO at Western Governors University. WGU is a non-profit, accredited, innovative (#28 on the Fast Company Top 50 List) university. Niel writes a monthly column for Enterprise CIO and is the author of two books on IT leadership and decision-making (the next book will be published in January 2014). Niel is expert in IT turnaround, agile methods, and using Big Data and predictive analytics to improve decision-making throughout the organization. Niel holds an MS in Engineering from MIT.

Case Study: You Can Do That? Using Predictive Analytics to Increase Student Graduation

 Durjoy Patranabish

Durjoy Patranabish

Senior Vice President

blueocean market intelligence

Durjoy has over 17 years of experience in various areas of business services and a deep understanding of outsourcing. Before joining blueocean, he was the European Sales leader for Analytics services at IBM. He was instrumental in growing Capital One’s outsourcing footprint in Asia, and was responsible for managing the Analytics practice in India for RedPill. His experience includes IT services, KPO and Analytics services, BPO and back-office services for global brands and regional leaders. He has been involved in setting up, establishing and growing service operations across multiple cities, in offshore locations (India, Philippines), managing various business functions. His experience also includes a successful entrepreneurial stint and merger and acquisition activities. He has an engineering degree from the Birla Institute of Technology, Ranchi and a Master of Business Administration from the Indian Institute of Management.

Gold Sponsor Presentation: The new age of Analytics

 Daniel Porter

Daniel Porter

Co-Founder

BlueLabs

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


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

Keynote: Pinpointing the Persuadables: Convincing the Right Customers and the Right Voters

 Ashok Ramani

Ashok Ramani

Product Lead, Big Data

eBay Inc.

Ashok Ramani is currently the product lead for eBay Inc.'s data solutions. His focus is to create new business opportunities and disruptive innovations from the massive commerce data sets across PayPal, eBay Enterprise and eBay Marketplace businesses, which collectively enabled $205bn in global commerce in 2013. Prior to eBay, the entrepreneur in Ashok led him to found Wazzin, a social platform for private local communities. Before that, he was product lead for Yahoo!'s large-scale content platforms that powered Yahoo! Sites globally. Prior to Yahoo!, as a software developer, he has contributed to numerous platforms and industry standards (B2B, e-Commerce, security) at IBM and several enterprise companies. Ashok has co-authored a book on Java Network Security.

Case Study: Data Science empowering personalization

 Steven Ramirez

Steven Ramirez

CEO

Beyond the Arc

@beyondthearc

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

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

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

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

Case Study: Open Your Eyes and Ears: Leveraging Predictive Analytics and Alternative Data Sources to Improve the Customer Experience

 Pasha Roberts

Pasha Roberts

Co-Founder and Chief Scientist

Talent Analytics, Corp.

@pasharoberts

Pasha Roberts is chief scientist at Talent Analytics Corp., a company that uses data science to model and optimize employee performance in areas such as call center staff, sales organizations and analytics professionals. He wrote the first implementation of the company’s software over a decade ago and continues to drive new features and platforms for the company. He holds a bachelor’s degree in economics and Russian studies from The College of William and Mary, and a master of science degree in financial engineering from the MIT Sloan School of Management.

Case Study: A Data Science Approach to Reduce Call Center Attrition
Expert Panel: Necessary Skills of the Quant: Finance, Fraud, and Marketing

 Vwani Roychowdhury

Vwani Roychowdhury

Chief Scientist and Co-Founder, NetSeer and Professor

UCLA

Dr. Vwani Roychowdhury, Professor of Electrical Engineering at UCLA, established the theoretical foundation of NetSeer's groundbreaking technology. An internationally recognized researcher in mathematics, statistics, physics, electrical engineering and computer science, Professor Roychowdhury is known for innovative problem solving in the fields of learning theory and systems, statistical modeling and processing of large-scale and high dimensional datasets, peer-to-peer (P2P) networking and complex systems, distributed and parallel processing, bioinformatics, quantum computing and nanoelectronics. He has consulted with major corporations including Intel, HP, AT&T, IBM and Warner Bros., has co-authored three books on artificial intelligence and neural networks, has written over 150 technical and scientific publications, holds two U.S. patents, and was recently featured by The New Scientist, Nature, The Guardian, and the BBC for his breakthroughs in social networks and dynamics, spam filtering and P2P networking. Dr. Roychowdhury received a Ph.D. in Electrical Engineering from Stanford University.

Case Study: Media and Murder: By the Numbers

 Eugene  Roytburg

Eugene Roytburg

Managing Partner

4i inc.

Dr. Eugene Roytburg is the premier thought leader in bringing Science, Advanced Analytics, and Consulting to business problem solving and decision-making. With more than 20 years of experience in developing transforming analytics and insight functions, Dr. Roytburg delivers higher value add for his clients. He has a combined 22 years of corporate, academic, and consulting experience, including positions at CNH, SPSS, Nielsen, and Moldova Academy. He has led strategic management consulting firms such as Booz, A.T. Kearney, 4i Consulting Group, and Business Management Consultants. He is responsible for 23 publications and seven patents. He received his MBA from Kellogg Graduate School of Management with an emphasis on strategy, operation, and innovation, and holds a PhD in systems engineering with a minor in mathematics.

Lunch and Learn: Growth & Foresight Analytics

 Richard Wellman

Richard Wellman

Westminster College

Bio coming soon.

Case Study: You Can Do That? Using Predictive Analytics to Increase Student Graduation

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