KENNETH A JENSEN
KEY PROJECTS
I have worked on numerous projects and in almost any industry and vertical throughout my career, but you find a list of the most interesting projects and those that have been published as Case Studies or otherwise made public.
This is by no means a complete nor exhaustive list of my work, but I hope that it allows for a sense of the type of work that I enjoy.
Transforming the Employee Experience with Data Science
People Experience
Was the principal data scientist in the development of the EY PX360 People Experience Transformation Platform, which is a solution created by EY in close collaboration with SAP SuccessFactors and Qualtrics
The solution was given the SAP Pinnacle Award in 2020 and was an important factor in EY being named Qualtrics Employee Experience Partner of the Year in 2020.
Analyzing Tennis Data for the Four Major Tournaments
Sports
Pioneered the development of the “Keys to the Match” for the four major tennis tournaments (Australian Open, Roland Garros, Wimbledon, and US Open). The solution is used by ESPN in their broadcasts and by IBM as part of the SlamTracker application alongside the real‑time match scores.
This solution earned me the IBM Outstanding Technical Achievement Award in 2012.
Innovation in Oil and Gas using Big Data and Analytics
Manufacturing
Was the lead data scientist during a long‑term engagement with a multinational oil and gas company as a part of the in‑house innovation team for the use of big data and analytics.
We executed a series of highly successful proof‑of‑concepts that demonstrated the specifics of how they could utilize technology, big data, and analytics to solve individual pain points throughout their operations.
Early Detection of Insurance Fraud
Fraud and Non-compliance
Developed a solution for early identification of insurance fraud which was deployed at several insurers both in Europe and in North America including Infinity Property & Casualty, who achieved a 403% ROI in the first 3 years.
The project has resulted in several case studies and other published materials that detail the results.
Driving Business-to-Business Sales through Predictive Analytics
Customer Acquisition
Successfully worked with ADP, Inc. to develop a solution to identify the prospects who were most likely to purchase payroll services. I was responsible for the complete process from the initial requirements gathering through the deployment of the recommendations in the cloud-based sales automation system.
Predicting College Readiness for Students in 8th Grade
Risk Assessment
Led a project for the Gwinnett County Public Schools to develop an early-warning system for students who are at risk of not being college-ready when they graduate high school.
The project succeeded in developing machine learning models identified the at-risk students as early as the 8th grade and allows the school and the teachers enough time to intervene, formulate a plan, and provide any remedial actions for the individual student to help make them college-ready when they graduate high school.