KANAV CHANDRA

 Built quantitative models to support portfolio construction and rebalancing decisions across client investments  Analyzed mutual fund performance and macroeconomic indicators to guide capital allocation and exit strategies  Delivered data-driven investment recommendations to clients, translating insights into actionable decisions  Automated financial data pipelines to improve efficiency and speed of analysis

 Designed analytics-driven recruitment hotspot models to identify target regions for multiple industries.  Developed a social media strategy aligned with analytics insights, enhancing brand visibility.  Built data pipelines to integrate structured and unstructured recruitment datasets across geographies.  Successfully generated over $25K in revenue within the first year while establishing the operational and legal framework necessary to support expansion across multiple countries..

 Designed predictive and explanatory models to improve client and broker retention strategies.  Built automated ETL pipelines using SQL and Python to streamline underwriting data.  Conducted risk modeling to optimize pricing and claims forecasting.

 Designed ML models to evaluate digital campaign effectiveness.  Created A/B testing frameworks for marketing optimization.