Jan Pecinovsky is a Data Scientist based in Antwerp with 11 years of hands-on experience applying engineering discipline to energy data and analytics. At EnergieID since 2015 he has focused on building reliable back-end tooling—most notably contributing to entsoe-py, a Python client that extracts electricity prices, generation data and forecasts from the ENTSO-E API with robust retry and parsing features. Trained as an industrial engineer (electronics & ICT) with postgraduate entrepreneurial training, he blends systems thinking with practical coding to turn complex grid data into usable time-series and Pandas workflows. His background in project engineering and long-standing volunteer leadership in Scouting suggests strong project ownership and people skills alongside technical depth. He also brings an unexpected creative side through formal saxophone study, indicating an ability to balance analytical work with disciplined artistic practice.
11 years of coding experience
2 years of employment as a software developer
Saxofoon, focus samenspel, Grote onderscheiding, Saxofoon, focus samenspel, Grote onderscheiding at Stedelijke Academie voor Woord, Muziek en Dans
Bachelor's degree, Industrial Sciences: Electronics and ICT, Bachelor's degree, Industrial Sciences: Electronics and ICT at Groep T - Internationale Hogeschool Leuven
Grieks-Wiskunde, Grieks-Wiskunde at Sint-Jan Berchmanscollege Genk
Python client for the ENTSO-E API (european network of transmission system operators for electricity)
Role in this project:
Back-end Developer
Contributions:13 reviews, 110 commits, 46 PRs in 4 years 1 month
Contributions summary:Jan primarily focused on developing the backend of the entsoe-py library, creating a Python client for the ENTSO-E API. Their contributions involved implementing core functionalities such as retrieving electricity prices and generation data, with support for both raw XML and Pandas Series formats. The user added features like retry mechanisms for improved reliability and the ability to query for generation forecasts and installed capacity. They also integrated with the ENTSO-E API by implementing specific methods for accessing various data types, with a focus on parsing and processing data efficiently.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.