Summary
Jesse van Elteren is a data-driven leader with 9 years of experience turning analytics and machine learning into tangible business value to accelerate the energy transition. Currently leading Self Service Analytics & Data at TenneT, he manages three teams and a certified central data platform while scaling Power BI adoption to thousands of users. He combines hands-on Python and cloud engineering (Azure/GCP) with Lean Six Sigma operational rigor to deliver cost savings, real-time insights and asset optimization across utilities and industry. Previously he led data science and OpEx programs that saved millions and improved NPS and operational performance, and he coaches teams through change to embed data literacy. An active practitioner of applied data science, he shares personal Python projects and learnings on his GitHub and blog, reflecting a pragmatic, product-focused approach to analytics.
9 years of coding experience
4 years of employment as a software developer
Machine Learning Engineer Nanodegree, Machine Learning, Nanodegree, Machine Learning Engineer Nanodegree, Machine Learning, Nanodegree at Udacity
Master Black Belt Lean Six Sigma, Master Black Belt Lean Six Sigma at University of Amsterdam
MSc., Industrial Engineering & Management, MSc., Industrial Engineering & Management at University of Twente
Black Belt Lean Six Sigma, IBIS UvA, Black Belt Lean Six Sigma, IBIS UvA at Universiteit van Amsterdam
Elektrische Energietechniek, 9, Elektrische Energietechniek, 9 at HAN University of Applied Sciences