I am passionate about data science, data processing and data analysis with over 7 years of experience and wide knowledge from studies. I am particularly interested in the development of predictive models and high-volume data analysis.
Over the years, I have specialized in time series forecasting, especially in retail and logistics contexts — working on demand forecasting, inventory optimization, and sales prediction. I’ve built and deployed scalable production models using tools like Python, scikit-learn, XGBoost and LightGBM. My experience includes both short-term tactical forecasting and long-term strategic planning, with a strong focus on business impact and operational integration.
I enjoy translating data into action — whether it’s through dashboards, reports, or direct model-driven decisions — and I’m always happy to help others with practical, efficient solutions to complex data problems.
