Summary
Divya Parmar is a Senior Data Scientist with a decade of experience turning complex data into actionable business impact across financial services, gaming, and civic tech. She builds and productionizes scalable SQL/Python ETL pipelines, predictive models, and experimentation frameworks that have reduced query times by 80% and helped mitigate millions in enterprise credit risk. Comfortable bridging analytics and engineering, she delivers automated dashboards and monitoring (ARIMA alerts, NLP call-topic extraction) to surface operational risks and product insights for cross-functional teams. Her toolkit spans Python, SQL, R, SAS, Tableau, Snowflake and AWS, and she has a track record of saving time through automation and targeted modeling (e.g., 1% revenue-forecast accuracy and 20% mailing cost reductions). Based in Sacramento, she pairs an MS in Data Science with hands-on delivery and a habit of turning research-grade analyses into production-ready pipelines.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at The George Washington University
University of California, Irvine
Hindi, Gujarati