Bartosz Mielczarek is a Machine Learning Engineer with 9 years of experience applying statistical modelling, data mining and production ML to large enterprises across banking, energy, telecom and consumer appliance sectors. A mathematics graduate with postgraduate training in data science, he has migrated legacy SAS analytics to modern cloud and big-data stacks (Databricks, Airflow, AWS) and delivered production-ready models using Python, PySpark and XGBoost. He has hands-on experience building data hubs, customer segmentation and forecasting solutions, and has bridged analytics and engineering on projects from receipt-level retail analytics to insurance damage modelling. Comfortable in both SAS and open-source ecosystems, he often combines R/SAS heritage with modern MLOps practices to improve model governance and deployability. Based in Warsaw, he currently focuses on machine learning productization at Patronus AI while retaining a strong background in data architecture and practical model validation.
9 years of coding experience
3 years of employment as a software developer
Graduate, Data science – algorithms, tools, and applications for Big Data problems, Graduate, Data science – algorithms, tools, and applications for Big Data problems at Warsaw University of Technology
Master's degree, Financial Mathematics, Master's degree, Financial Mathematics at University of Warsaw
Graduate, Statistical Analysis and Data Mining in Business, Graduate, Statistical Analysis and Data Mining in Business at SGH Warsaw School of Economics
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Bartosz Mielczarek - Machine Learning Engineer at Patronus AI