Shruti Pansuriya
Data Scientist
- Role
- Data Scientist at Morgan Stanley
- Location
- Orlando, FL, US
- LinkedIn followers
- 500 followers
About Shruti Pansuriya
I enjoy solving problems and making sense of messy data, turning it into something…
Experience
Data Scientist
Jul 2024 — Present · US
Developed and deployed an XGBoost classification model on AWS SageMaker to predict client asset attrition, contributing to targeted retention strategies that supported a 14% reduction in attrition rates. Wrote advanced SQL queries using subqueries, window functions, joins, and CTEs to extract and aggregate 30M+ monthly transactional, portfolio and client demographics records, delivering clean datasets to support modeling and analytics efforts. Built scalable PySpark ETL pipelines on Databricks to enable deeper insights into attrition drivers, and transform data to enhance model interpretability and performance. Generated interactive Tableau dashboards to monitor client asset attrition across segments, providing actionable insights into withdrawal patterns, risk factors, and enabling proactive retention strategies. Automated ML model monitoring with AWS CloudWatch to track key metrics (recall, f1-score, data drift), enabling proactive retraining and reducing model downtime by 25%, improving model reliability for business use.
Education
Gujarat Technological University, Ahmedbabd
Bachelor of Engineering - BE
2018 — 2022
University of Southern California
Master of Science - MS
2022 — 2024
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