At BlackRock, I architected an AI-powered Python application integrated with Snowflake and Jira, replacing a fully manual reporting process and eliminating about 60 hours of processing annually.
I also created a Selenium-based data pipeline that improved entity linkage accuracy from 52% to 60%, strengthening the reliability of downstream analysis.
Working with stakeholders, I developed a data taxonomy for 500+ target firms that cut process timelines from two weeks to under two days. I also developed and maintained a Metabase dashboard for outreach tracking.
At Frozen Bottle, I built a Python pipeline for sales data ingestion that reduced reconciliation errors from 20% to under 3%. I also replaced manual spreadsheet updates with a Python utility, reducing weekly reporting turnaround from three hours to 30 minutes.
