Summary
Nate Shenkute is a data scientist with 8 years of cross-industry experience applying computer science rigor to commercial and product problems across startups and global enterprises. He has built high-accuracy forecasting and CLV models, designed reverse-ETL driven commercial data architectures, and translated complex mathematical insights into executive-ready intelligence at companies like Normative, Red Bull, Diet Doctor, and Synthesia. Comfortable shipping end-to-end solutions, Nate blends hands-on Python, ML, and cloud work with data governance and product-led growth enablement to turn usage signals into upsell and retention outcomes. His background in chemical engineering and novel work on chromatogram deep learning models reflect a knack for bringing scientific methods to messy real-world data. Based in the Randstad, he advises early-stage AI startups while pursuing interests in boxing, philosophy, and enduring books that shape his curious, practical approach.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Twente
International Baccalaureate, Natural Sciences, International Baccalaureate, Natural Sciences at Rijnlands Lyceum Oegstgeest
English, Dutch