Summary
Nisha Pardeshi is a Data Scientist with 8 years of experience building production ML solutions and analytics platforms, currently based in Austin, Texas. She has a proven track record in insurance analytics—delivering predictive models, an automated end-to-end ML pipeline that cut model development from 12 months to 2 weeks, and a dynamic claims analytics platform on Qlik and Snowflake. Comfortable bridging engineering and data science, she has implemented reusable Snowflake sampling frameworks, deployed XGBoost and logistic models in production, and prototyped Generative AI automation using LangChain and OpenAI to streamline underwriting. Earlier roles span data standardization and automation across multi-client platforms, backend engineering, and data migration research, giving her a strong foundation in both systems and modeling. A Texas Tech Data Science master’s grad with hands-on experience unifying schemas and automating workflows, she blends pragmatic engineering with a storyteller’s sense for the narratives hidden in data.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Data Science, 4, Master's degree, Data Science, 4 at Texas Tech University - Rawls College of Business
Bachelor of Technology - BTech, Electronics Engineering, Bachelor of Technology - BTech, Electronics Engineering at Veermata Jijabai Technological Institute (VJTI)