LPL Financial
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.
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LPL Financial
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LPL Financial is a leader in the retail financial advice market and the nation’s largest independent broker/dealer. LPL serves independent financial advisors and financial institutions, providing them with the technology, research, clearing and compliance services, and practice management programs they need to create and grow thriving practices.