Experience
Client: Microsoft
- Developed and maintained machine learning models to score and prioritize sales leads across multiple product lines.
- Built a multi-agent AI system that interacts with structured and unstructured data to autonomously detect and surface insights.
- Developed accurate machine learning sales forecasting models built to handle a high volume of product–supermarket combinations in the retail sector.
- Developed a software product that generated daily inventory replenishment recommendations for large manufacturers to restock their products across multiple supermarket chains.
- Developed statistical models for stockout prediction across 40,000+ supermarkets.
- Developed a recommendation system for inventory management using embeddings and vector similarity.
- Developed and maintained machine learning models for predicting human resources needs and availability across multiple countries.
- Collaborated with data science teams to enhance model performance and optimize prediction accuracy.
- Developed machine learning models for client segmentation and predicting cluster assignments to enable differentiated treatment.
- Developed ETL solutions for importing, exporting, loading, and processing data.
- Developed microservices with .NET Core.
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Cloud Platforms