Skills

Programming Languages & Development

Proficient in Python, SQL, Scala, JavaScript, and R, with a focus on application in data science and software development. Skilled in writing efficient, clean, and maintainable code for complex projects.

Machine Learning & Deep Learning

Expert in deploying large-scale machine learning and deep learning models using advanced frameworks like TensorFlow, PyTorch, and XGBoost. Experienced in creating predictive models that drive actionable insights.

Big Data Technologies

Experienced in handling vast datasets using technologies like Apache Spark, Hadoop, and Ray. Expertise in designing scalable data processing pipelines to support business intelligence and analytics.

Statistical Analysis & Visualization

Advanced skills in statistical analysis, A/B testing, and producing compelling data visualizations and dashboards using tools like Tableau, Power BI, and Matplotlib to illustrate complex data trends.

Cloud Computing & DevOps

Proficient in deploying scalable applications on cloud platforms like AWS, GCP, and Azure. Skilled in managing CI/CD pipelines and implementing DevOps practices to ensure efficient development workflows.

Optimization & Forecasting

Specialized in applying optimization techniques and forecasting methods using advanced mathematical models to improve efficiency and accuracy in business operations and decision-making.

Projects

Forecasting Engine for Retail Analytics

Forecasting Engine for Retail Analytics

Led the development of a robust forecasting engine at retail company, utilizing Ray and Vertex AI on GCP. This project achieved a 9% error reduction and a 15% reduction for promoted items, enhancing inventory efficiency by 5%.

PipeLearner: Machine Learning Optimization Tool

PipeLearner: Machine Learning Optimization Tool

Created PipeLearner, a Spark distributed package that cuts down model training and deployment time by over 50%, streamlining the process and enhancing productivity across data teams.

Optimization of Promotional Forecasting Platforms

Optimization of Promotional Forecasting Platforms

Transformed the promotional forecasting platform at a retail company to a PySpark distributed computing framework, revising logics and models in AWS. This led to a 2% reduction in error and a significant cut in runtime by nearly 70%.

Warehouses Orders Forecasting Challenge

Warehouses Orders Forecasting Challenge

Developed a solution for predicting grocery delivery orders at Rohlik warehouses across Europe, enhancing workforce allocation, delivery logistics, and inventory management through accurate forecasting.

MMA Fighter Data Analysis and Ranking

MMA Fighter Data Analysis and Ranking

Conducted a comprehensive analysis of MMA fighters using data scraping, ranking, and visualization techniques. This project provides insights into fighter performance and serves as a tool for fans and analysts.