Data Science AssociateProject:1) Hafele Demand Forecasting for Appliance and furniture fittingsBuilt and optimized forecasting models using Auto ARIMA, SARIMA, Random Forest, XGBoost, Croston, TSB, 3MA, and 6MA.Conducted data cleaning, preprocessing, and integration using Python (NumPy, Pandas).Implemented sales classification and external data aggregation to improve forecasting accuracy.Tech stack: Python, Pandas, NumPy, Scikit-learn, Statsmodels.2) Global Capability Client (GCC) MIS AutomationGCC Management Information System (MIS) ProjectDeveloped a comprehensive MIS to consolidate data from multiple sources, enabling accurate reporting and analysis.Designed and implemented the GCC Digital Cockpit for real-time performance monitoring with advanced filtering options.Streamlined manual processes, improving data accuracy and reducing labor-intensive tasks.Collaborated with the Data & Analytics (D&A) team to ensure critical insights were accessible to stakeholders.Tech stack: Python, SQL, ETL tools, Power BI.