This repository contains analytics projects aimed at improving operational efficiency and extracting actionable insights. The current projects focus on distribution optimization and customer feedback analysis.
- Developed a linear programming model using AMPL to optimize bakery delivery routes.
- Reduced total travel distance and CO2 emissions through efficient route planning.
- Incorporated priority-based scheduling to ensure timely deliveries for high-priority locations.
- Tools used: AMPL, Excel, and analysis through custom workflows.
- Leveraged GPT-4 to classify and analyze over 7,000 customer reviews.
- Categorized feedback into actionable insights, including service quality and product satisfaction.
- Automated workflows using Python and R for data extraction, processing, and visualization.
- No sensitive or confidential data is included in this repository.