ganga km

I am a results-driven data scientist and machine learning engineer with over two years of hands-on experience building predictive analytics and optimization solutions for the energy sector. I specialize in forecasting, demand prediction, and real-time market optimization that deliver measurable cost savings.

At Tata Power I developed and deployed solar generation forecasting models that reduced DSM penalties and built demand-prediction and pricing-optimization solutions for RTM, DAM, and GDAM markets. I also implemented a LangChain-based document evaluation system to automate tender analysis.

I led cloud migration and automation efforts, executing end-to-end data pipelines using AWS Glue, SageMaker, Azure Databricks and Azure Data Factory to enable scalable analytics and production deployment. I have applied Pyomo with the IPOPT solver to minimize power purchase costs and heat rate while meeting business constraints.

I bring strong technical depth in Python, SQL, machine learning, generative AI (LangChain), optimization, and cloud platforms, backed by an MSc in Mathematics and multiple AWS certifications. I am motivated to build production-ready AI systems that drive operational efficiency and strategic value.