Mar 2023 – Present · 3 yrs

• Research Topic: Application of Machine Learning to manage and mitigate Risks within BMW Supply chain.
• Predicted High-risk suppliers in BMW supply chain by developing ML, DL model and Time-series forecasting algorithms using python.
• Created Machine learning model that will be used to forecast supplier's financial performance.
• Proved effectiveness of specific ML and DL algorithms to forecast ordinal data type target variable in time series forecasting problem.

Mar 2022 – Mar 2023 · 1 yr

• Providing data analytics solutions across BMW packaging plant's Overseas Supply Chain to improve visibility, Performance & Processes.
• Generating actionable insights through the development of metrics, dashboards and detailed understanding of supply chain processes
• Data preparation, Statistical Calculation, and Data analysis in SQL
• Developing automated tableau visualizations, dashboard and reports to provide a comprehensive overview of business performance and key recommendations for effective decision-making
• Usability Testing and data investigation
• Contributing to constructive technical discussions through presenting findings and correlations
• Identifying trends and predict patterns for outbound forecast
• Projects:
• 1. Volume shipped (Air, Sea & Land freight)
• 2. Container Utilization
• 3. Airfreight Forecast
• 4. To be packed Volume and ready to ship Volume
• 5. Material availability status
• 6. F2 Adherence (Shipped too early, shipped too late and shipped on time)