- Responsible for Research and Development initiatives within the Advanced Analytics organization, focusing on multiple products (SKUs).- Developed GMV forecasting model for specific SKUs based on price variations, supporting optimization of promotional strategies.- Implemented standardized value-measurement techniques to solve complex business problems, improving forecast accuracy by 20% and reducing churn by 15%.- Identifying data groupings based on inherent similarities, without relying on predefined categories.- Applied XGBoost and CatBoost for advanced predictive analytics, improving forecast accuracy by 87%.- Maintained strong relationships with stakeholders to ensure effective collaboration and successful delivery of objectives

I have experience working with these below domains:- Demand Sensing and Shaping- Demand Forecasting- eCommerce- POS Platform/ Retail Platform- Marketing - Pricing- Product Management- Sales- Inventory - FinanceHere are technical tools in use:+ Querying Language: - BigQuery+ Machine Learning: - Python: pandas, NumPy, matplotlib, seaborn, scikit-learn,...+ Analyzing Tool: - Power BI - Power Query - Excel+ Others Language: - M Language