Pavan G

Pavan G is a seasoned data scientist with extensive experience across various financial and insurance sectors. Currently employed at LPL Financial since June 2019, Pavan G focuses on addressing heteroscedasticity and multicollinearity in regression models. Prior experience includes roles at MetLife, where collaboration with data engineers facilitated the deployment of ETL processes, and at Credit Suisse, where Pavan G designed solutions for data analytics in Global Markets. Experience also encompasses forecasting data loss prevention at AIG, developing anomaly detection frameworks at Standard Insurance, and serving as an ETL Architect. Pavan G holds an MBA in Business Administration from Symbiosis International University.