Shiva Kotagiri
@shivakotagiri
I build AI-powered data pipelines and analytics that drive operational decisions.
What I'm looking for
At Worcester Commons, I build AI-powered forecasting, real-time ingestion, and self-serve reporting systems for dining operations. My Python demand prediction pipeline achieved 82% forecast accuracy and helped reduce food waste by 18%, while Kafka, AWS Lambda, and Redshift reduced data latency to under five minutes.
Previously at Ujjivan Small Finance Bank, I built Snowflake and dbt ETL pipelines processing 8M+ daily transactions, customer segmentation models for 2M+ records, and an early-warning system that flagged potential defaulters 60 days ahead with 84% accuracy. I also delivered a Power BI analytics platform serving eight business units and helped reduce NPAs by 18%.
I'm completing an MS in Business Analytics at UMass Amherst and use Python, SQL, dbt, Snowflake, AWS, machine learning, and BI tools to turn complex data into actionable insights for Risk, Finance, Operations, and leadership teams.
Experience
Work history, roles, and key accomplishments
Data Analyst II
Worcester Commons
Sep 2024 - May 2026 (1 year 8 months)
Engineered Python-based ML demand prediction pipelines and dbt models on Snowflake, reducing food waste and data inconsistencies. Developed AI-assisted reporting and real-time data ingestion pipelines, and led A/B tests and NLP analyses to improve operations.
Education
Degrees, certifications, and relevant coursework
University of Massachusetts Amherst
Master of Science, Business Analytics
2024 -
Pursuing a Master of Science in Business Analytics with coursework in machine learning, data engineering, and cloud computing.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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