Sai Krishna

At Saint-Gobain India, I improve supply chain decisions through truck-loading process analysis, aged-stock customer segmentation, and Power BI capacity planning dashboards. My work uncovered driver-side delays, supported targeted clearance offers, and introduced early “days to full” capacity warnings.

I've delivered end-to-end analytics systems for SKD Health, including employee performance evaluation dashboards and a RAG-based query system that lets stakeholders ask grounded questions about performance data. At NLC India, I developed solar power generation forecasts using SARIMAX, Linear Regression, Decision Trees, and Random Forest models.

I work across Python, SQL, SAP, Power BI, process mining, machine learning, and feature engineering, and I'm expanding into AI engineering through LLM APIs, RAG pipelines, agentic workflows, and FastAPI.