Sree Alapati is a data scientist with a decade of professional experience and four years focused on delivering measurable impact through predictive analytics and operational optimization. Based in Nanjing, he currently leads initiatives at Ford to identify labor-hour reduction opportunities and drive cross-functional, data-driven productivity gains. He has hands-on expertise building end-to-end pipelines, deploying models on Google Cloud (BigQuery, Vertex AI), and creating interactive dashboards and Streamlit apps that translate insights into pricing and warranty cost savings. Sree has applied LLMs (PaLM 2) to generate SQL and accelerate analysis workflows, blending modern ML tools with strong ETL, feature engineering, and model-monitoring practices. His engineering background in electronics and consistently high academic performance underpin a methodical approach to solving complex business problems. Colleagues note his ability to turn heterogeneous data sources into unified, decision-ready products that cut costs and improve operational resilience.
10 years of coding experience
2 years of employment as a software developer
Higher Secondary Education, M.P.C, Higher Secondary Education, M.P.C at Narayana Institute
Bachelor of Technology - BTech, Electronics and Communication Engineering, 9.00, Bachelor of Technology - BTech, Electronics and Communication Engineering, 9.00 at Vellore Institute of Technology
Contributions:26 commits, 16 pushes, 1 branch in 1 year 4 months
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