Yogesh Kawadkar

• Fine-tuning large language models and developing Retrieval-Augmented Generation (RAG) systems for internal business applications using Azure. • Manage structured and unstructured data, leveraging SQL and PySpark for data management and analysis. • Utilized a wide range of Azure services, including Cosmos DB, Azure Cognitive Search, Document Intelligence, App Services, and more

• Developed deep learning models for forecasting electric vehicle range and power usage, leveraging expertise in multivariate time series data analysis from vehicle buses. • Utilized PySpark and SQL for data processing and management, ensuring efficient workflows. • Employed the vehicle system dynamics model to produce synthetic datasets for downstream appli- cations.

• Developed a recommendation system for Customer Success Managers (CSMs) that reduced cus- tomer churn by 7%. • Implemented anomaly detection models to identify unusual behavior with 95% accuracy. • Conducted user clustering for product usage insights, enhancing marketing strategies by 12%. • Performed sentiment analysis for emails, improving customer response times by 16%. • Designed a ranking algorithm for users based on their product usage patterns. • Developed ML models to predict cu