• Architected a data pipeline that allows manufacturers to learn ​Consumer Insights​ ​for product enhancements

• Orchestrated the workflow with ​Airflow ​to process 8​0 GB​ of ​Amazon Customer Reviews ​using ​Spark

• Developed the search platform using ​Flask​ to retrieve relevant results from ​Elasticsearch​ with minimal latency

• Introduced custom tweaks to ​Elasticsearch​ indices to improve the ​search relevance

Worked closely with the Quant team in the Portfolio Research and Consulting Group (PRCG) to assist NGAM clients with an in-depth portfolio evaluation designed to evaluate the overall risk and trade-offs in the portfolio.

• Built a Risk Dynamic Framework to analyze risk exposure of various market signals on a security over the time using Machine Learning techniques.

• Generated a Tilt Report by productionizing the above model to examine an NGAM portfolio at the fund level.

• Developed PRCG Scorecard to compute performance metrics of securities and rank them within their Morningstar Category w.r.t. to different end dates.

• Automated generation of customized powerpoint client reports, thereby saving analyst's manual effort