Summary
Vojtech Jandl is a quantitative analyst with 15 years of experience building data-driven models and end-to-end analytics solutions for power trading and asset optimization. He blends statistical rigor, machine learning, and software design—implementing forecasting, optimization and trading strategies in Python and Azure—while keeping a strategic view of business impact. His background spans academia and industry, from bespoke optimization work at Charles University to production analytics and E2E infrastructure for traders at Strohmy a.s. Notably, he pairs deep probabilistic modeling skills with practical engineering (SQL/APIs, Numpy/Pandas) to turn complex data streams into actionable decisions. Outside work he channels analytical thinking into trail running and chess, reflecting a disciplined, sustainable approach to problem solving and risk.
15 years of coding experience
3 years of employment as a software developer
Master's degree, Mathematical Statistics and Probability, Master's degree, Mathematical Statistics and Probability at Univerzita Karlova
Intern, Intern at McGill University
English, Czech, German, Slovak