Summary
Damien Beneschi is a Senior Data & ML Engineer with eight years of experience bridging energy engineering and machine learning to deliver production-ready forecasting and decision-support tools for commodities and public energy organizations. With a formal engineering background from École Centrale Paris and international exposure in environmental economics, he combines domain expertise in the energy sector with hands-on skills in Python, time series forecasting, deep learning, RL, NLP and AWS. Over four years consulting for public energy companies and three-plus years building data pipelines and ML solutions as a practitioner, he excels at translating complex technical and organizational constraints into actionable, sustainable solutions. Based in Krakow, he is curious, fast-learning and entrepreneurial, often focusing on innovation that advances sustainability in energy markets.
8 years of coding experience
Erasmus Exchange Semester - February to June 2012 - 30 ECTS, General & Environmental Economics, Erasmus Exchange Semester - February to June 2012 - 30 ECTS, General & Environmental Economics at Budapesti Mûszaki és Gazdaságtudományi Egyetem
General Engineering, Environmental Engineering - International Project Management, General Engineering, Environmental Engineering - International Project Management at Ecole Centrale PAris
Data Scientist (Python), Data Science, Machine Learning, Python Programming, Data Scientist Career Track Certificate, Data Scientist (Python), Data Science, Machine Learning, Python Programming, Data Scientist Career Track Certificate at DataCamp
French, English, Polish