Rexer Analytics

President

Karl founded Rexer Analytics in 2002. Karl’s broad analytic experience includes analytic strategy & leadership, predictive modeling, statistics, data science, direct marketing, and market research. Karl’s teams have provided data science, predictive modeling and analytic consulting to clients across many industries. Clients include PwC, HBO, Hewlett Packard, Boston Scientific, Redbox, Raytheon, Oracle, Fiserv, ADT Security, Bard, CVS Pharmacy, MIT, Hult International Business School, Interamericana University, A.S.Watson, OneBlood, MCS, SharkNinja, GFR Media, YouTube, 20+ banks and many smaller companies.  

Analytic engagements have forecasted hospital blood orders during the Covid pandemic, identified loans at risk of defaulting, college students at-risk of dropping out, blood donors who are the best prospects for converting to platelet donors, employees likely to quit, medical patients likely to skip appointments, households that are good candidates for installing solar panels, bank accounts likely to close, investment accounts likely to increase, YouTube ads likely to be skipped, hurricane insurance claims that are likely to be fraudulent, and many other business predictions. For Hewlett Packard, Karl led a fraud reduction engagement, and (in partnership with Elder Research) developed both B2B and consumer fraud detection solutions. These utilized expert systems and data science methodologies to provide HP auditors with prioritized lead lists and key information that enables auditors to quickly focus their audits on troublesome areas. An HP fraud auditor, speaking at an Association of Certified Fraud Examiners seminar, described how the Rexer solution saved over $65 Million of B2B fraud losses and drove HP to hire additional auditors on four continents to keep up with the flow of high quality fraud leads generated by the Rexer algorithms.
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In addition to leading client engagements and hands-on data science work, Karl is a predictive analytics evangelist, frequently speaking at conferences, colleges, and other events. He has delivered data science seminars and trainings to clients in the US, China, Europe and the Caribbean. Karl has served on the organizing committees of numerous international Data Science and Business Intelligence conferences (e.g., KDD, BIWA Summit, Oracle Collaborate). He also reviews papers, is a conference moderator (Machine Learning Week), and serves on awards committees to select the best applied data science papers. Karl served 2 years on IBM’s Customer Advisory Board and 11 years on the Board of Directors of the Oracle Business Intelligence, Warehousing, & Analytics (BIWA) Special Interest Group. He has also served on Advisory Boards for Business Analytics programs at Babson College and Bentley University. From 2007 to 2023 Rexer Analytics conducted surveys of analytic professionals, and has made research summary reports available as free downloads from the Rexer Analytics website.

Karl provides pro-bono statistical support to MIT epidemiologists and cancer researchers, and has published with blood banking colleagues in international journals. Prior to founding Rexer Analytics, Karl held leadership and consulting positions at several consulting firms and two multi-national banks.  

Karl holds a BA from The Ohio State University and a PhD in Experimental Psychology from the University of Connecticut.

Senior Consultant & Project Lead

Paul has deep experience in analytic consulting, predictive modeling, forecasting, text mining, and survey research. For the past 20 years he has developed and delivered a wide variety of analytic solutions to Rexer Analytics clients.
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Paul recently led statistical planning, survey programming and analyses to examine public opinion of recycling efforts in two US states, the results of which helped shape public policy initiatives. For another client, Paul provides ongoing statistical consultation and analytic support for the company’s online communities platform and services. Paul’s methodological expertise and laser focus on client goals improves every client engagement, leading to improved primary research data quality, outstanding insights, and impactful research conclusions.  His engagements range from quick-hit 5-language conjoint studies to inform new product development and launch for international medical device companies, to 20 years of ongoing statistical support and retail bank insight-generation for Rexer Analytics’ longest ongoing engagement.  For the past 7 years Paul has led Rexer Analytics’ partnership with a brand insight and business strategy firm, providing primary research and analysis to support business strategy for companies in many sectors, including leisure and travel, telecommunications, transportation, and retail services. Over the past 3 years, he has worked closely with a client in the development and deployment of employee engagement assessments which have been utilized in many settings, including higher education, financial, and public municipalities.
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Paul also has experience leading predictive modeling engagements, including one to build and deliver a suite of models to a large multi-national service company. These models identify B2C and B2B customers who are at risk of closing their accounts, enabling the company to take proactive action to retain high-value at-risk customers. Paul has also designed and delivered research to help several of the largest US banks understand the changing needs of their consumer and business customers. He has analyzed a technology company's nationwide B2B customer loyalty program, forecast sales for a medical device company, built cross-sell and attrition prediction models for clients in several industries, designed models to identify at-risk college students, and conducted text mining to extract concepts from a software company's online customer responses. Paul is also skilled in presenting analytic concepts and training others. He has developed and delivered analytic seminars and trainings for user groups and clients in the US and Caribbean.  

Paul holds a BA from The College of the Holy Cross and an MA in Clinical Psychology from the University of Connecticut.

Senior Consultant & Project Lead

Heather has over 30 years of experience in predictive modeling, market research, financial optimization, and applied social science research. For the past 19 years she has developed and delivered a wide variety of analytics solutions to Rexer Analytics clients. She has led engagements, designed surveys, built predictive models, crafted customer segmentations, and partnered with clients to help them leverage data and analytics to improve business performance.

Heather has been the lead modeler the last 4 years building a suite of predictive models to drive donor engagement and retention for a large east coast blood bank. These models have increased blood drive campaign responses, enabled the company to better meet client hospitals’ needs for blood products, and improved patient care. Heather’s other recent work includes assisting a variety of healthcare clients in important survey research and creating models to determine which patients might be more suited for electronic health monitoring vs. in-person visits. In prior years, Heather led the writing of corporate finance case studies for 4 years of an international client’s white papers. The client felt the white papers were so successful in driving new business that they translated it into five languages and hired Rexer Analytics to assist with additional engagements.  Heather has also conducted sales forecasting for 2 medical device clients; customer loyalty analyses for several international business; and built cross-sell models, attrition prediction models, and loan default models for several banks and investment firms.

Prior to joining Rexer Analytics, Heather was the Director of Enrollment Modeling at Maguire Associates. While there she developed Maguire’s financial aid optimization product and led the team that delivered it to numerous colleges and universities. Heather has also worked in media market research, with a focus on branding, segmentation, and image tracking for clients such as Disney, HGTV and the Boston Museum of Science.  Heather holds a BA from Williams College and a PhD in Clinical Psychology from the University of North Carolina at Chapel Hill.

Senior Consultant & Project Lead

Andrew is both a senior marketing professional and a hands-on analytic innovator. One day he’s leading clients in marketing analytics strategy sessions, and the next day he is working heads-down, designing bespoke LLM solutions, or programming in python and R.

Andrew achieves client's marketing goals and improves marketing ROI through the development of analytic marketing strategies and the execution of the supporting marketing initiatives. These include integrated marketing communications and both in-market and new-market campaigns grounded in primary research, segmentation, analytic CRM, and Database Marketing methodologies. Andrew has surprised many clients with his innovative use of technology and external data sources. He has used LLMs to automate the building of complex reports from internal client data, and he has built systems to extract sentiment from 30-60 minute videos and assign minute-by-minute emotional labels to the videos.  Andrew's expertise also extends to the technology integration of direct marketing with customer contact channels (web, call centers, IVR, and letter shops). He has provided consulting solutions to AT&T, American Express, Reliant Energy, IBM, Microsoft, Allstate, and many other companies.  In additional to his extensive consulting experience, Andrew’s previous experience includes SVP and VP of Marketing positions at several companies including New England Life, BayBank, Alternative Investor (a Dow Jones company) and Intellidyn. In 2011 and 2015 he led teams that placed in the top 10 (out of 500+ worldwide teams) in the DMA (Direct Marketing Assoc.) Predictive Modeling Challenge. In 2008 Andrew led a team that developed an innovative lead incubation program that received Marketing Sherpa’s Gold Award for marketing innovation.

Andrew holds an MBA from Babson College, and also serves on the Babson College Alumni Board.

Solutions Architect & Cloud Specialist

Daniel Petruk is an experienced bilingual (Spanish & English) Solutions Architect with deep experience in a wide range of technology implementations. Over the last 20 years he has specialized in Business Intelligence, Cloud Migrations, ERP, Data Integration and complex database solutions. He has designed and implemented analytics solutions, delivered AWS cloud solutions, and managed ERP implementations, systems migrations, software development and cloud and Infrastructure migrations for clients in the Mainland US & Puerto Rico, Spain, Cayman Islands, UK, Germany, Switzerland and Luxembourg. He has integrated data from multiple sources to support Data Science initiatives and designed dashboards in several technology platforms to support C-suite strategic decision making. Daniel has deep experience addressing data governance challenges regarding PII, PCI, HIPAA and GDPR regulations, as well as handling data for legal proceedings. Daniel has led both waterfall and agile initiatives to develop cloud and on-premise data solutions for companies across many industries, including insurance, hospitality, and manufacturing. Daniel has extensive merger and acquisition experience, including Centralized Strategic reporting from multiple organizations with different technologies and source systems. He has a passion for solving complex technology problems, implementing elegant solutions, and communicating clearly with C-level clients, IT teams and end-users. In 2018 and 2019 Daniel led a Rexer Analytics team in the design and successful deployment of the Caribbean’s first Oracle Autonomous Cloud Data Warehouse for a large island-wide health insurance company. Daniel has outstanding communication, knowledge-transfer and presentation skills. He has presented Oracle solutions at Oracle Summits.

Daniel has a BS in Information Systems from Broward College, FL.

Analytics & AI Developer / Architect
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Kyle Bolay is an accomplished software architect with extensive experience designing, scaling, and refactoring data-intensive systems that boost profitability, sharpen operational efficiency, and accelerate time-to-market for fast-growing organizations. Much of his work has focused on high-volume event processing, real-time search, and complex data environments.  

Kyle introduces modern architecture and infrastructure patterns customized for clients’ business needs. For Rexer Analytics’ blood bank client Kyle developed a solution to capture specific blood donor web-visit behavior and pipelines to feed the resulting data into the client’s predictive modeling initiatives.  For this same client, he is currently working to improve data availability in legacy blood donor data systems, and to design a LLM technology infrastructure to enable the client to build solutions to both improve efficiency and also provide C-Suite members with insights across diverse systems and KPIs.

Prior to working with Rexer Analytics, Kyle directed software architecture practices at Wunderkind (formerly SmarterHQ) and has worked as a freelance software engineer.  At Wunderkind he designed and delivered a behavioral data acquisition system that receiving over 4B requests monthly, scaling beyond 600K requests per minute at peak traffic times. Kyle led the replacement of legacy backend system with serverless, scalable, resilient, cost saving, and quickly deployable systems. He also led teams in SOLID software practices to increase AGILE sprint velocity, reduce developer iteration time, and increased developer autonomy and ownership.

Kyle has a BS in Game Software Development from Westwood College.