Data Scientist | Machine Learning Practitioner | Mathematician | Statistician

I am a Research Data Scientist bridging the gap between mathematical theory and real-world business value. With a strong academic background in mathematics and statistics, I focus on building interpretable machine learning models, forecasting systems, and data-driven solutions.

• Modeling: Time Series Analysis, Demand Forecasting, Retail Analytics.
• Methodology: Applied Statistics, Interpretable ML, Data Storytelling.

While much of my commercial work is proprietary, here are the types of problems I solve:

• Demand Forecasting: Developed statistical models to predict inventory requirements, reducing waste and optimizing stock levels.
• Retail Analytics: Analyzed customer behavior patterns to drive business strategy.
• System Optimization: Bridged raw data with actionable business logic using Python and SQL.

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