Summary
Filip Wójcik is a Senior Data Scientist and university researcher with a PhD in Management Science, combining eight years of industry experience with deep academic expertise in machine learning, time-series forecasting and decision support systems. He has built production ML pipelines and MLOps solutions across web analytics, e‑commerce and finance at companies like Piwik PRO, InPost and Credit Suisse, while running his own consultancy for bespoke analytics and scientific writing support. Equally comfortable in R, Python and the Hadoop ecosystem, he blends classic econometrics and modern deep learning (PyTorch, TensorFlow) to solve cross-asset and cross-technology problems. He also brings a rare software-engineering background (.NET, C# and WPF) that helps translate research into maintainable, scalable systems. Known for mentoring teams and delivering stakeholder-facing products, he often bridges academic white‑box methods with practical, business-driven ML deployments.
8 years of coding experience
11 years of employment as a software developer
Wyższa Szkoła Informatyki i Zarządzania "COPERNICUS"
Master's degree: Law Law, Master's degree: Law Law at University of Wroclaw
Liceum Ogólnokształcące Nr. XIII we Wrocławiu
Doctor of Philosophy - PhD Management Science and Quality (former part of Economics), Doctor of Philosophy - PhD Management Science and Quality (former part of Economics) at Wroclaw University of Economics and Business
Polish, English