Summary
David Abekasis is a Data Science Manager with nine years of experience building AI functions and translating machine learning research into operational impact across manufacturing, finance, HR, supply chain and sales. Combining a BSc in Industrial Engineering, an MBA and an MSc thesis in ML and Big Data, he led the creation of a seven-person data science team at ICL Group and delivered production-ready solutions in forecasting, CV, anomaly detection, NLP and generative AI. He is skilled at bridging business and technical stakeholders—designing workflows, integrating process mining as a design customer, and driving measurable process optimization like procure-to-pay and order-to-cash improvements. A proponent of citizen development, he has trained 100+ nontraditional developers to build self-sustaining KNIME automation and analytic workflows, amplifying AI adoption across the organization. Known for combining hands-on POC delivery with strategic team building, he excels at turning technical innovation into sustained business value.
9 years of coding experience
8 years of employment as a software developer
Thesis in ML and Big Data track, Artificial Intelligence, Thesis in ML and Big Data track, Artificial Intelligence at Ben-Gurion University of the Negev