Core Programming & Tools

- Hands-on experience building and deploying ML models on large-scale production datasets
- Solid programming proficiency in Python with production-quality, well-structured code
- Proficient in SQL; experience working with large-volume datasets in Spark and/or Snowflake
- Experience with Git for version control, code review, and collaboration
- Familiarity with experiment tracking and model versioning (e.g., MLflow)

Classical ML & Statistical Modeling

- Time series forecasting (ARIMA, Prophet, deep learning approaches)
- Optimization modeling (linear programming, mixed-integer programming)
- Classification, regression, clustering, and ensemble methods
- Feature engineering, data wrangling, and statistical analysis on structured data





LLM Application & AI Agent Development

- AI Agent development: experience building agentic frameworks using Azure AI Studio and Azure model endpoints, including tool-use patterns and multi-step orchestration
- RAG pipeline development: document ingestion/chunking, vector embedding/indexing (Azure AI Search), and response generation using LLM endpoints
- Prompt engineering and chain-of-thought design for complex supply chain workflows
- Experience with orchestration frameworks like LangChain or LlamaIndex

📌 Data Science (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad