- Enhanced Discover proactive pipeline, optimizing workflow by 36%, and clickbait pipeline runtime by 58%.- Evaluated Discover corpus quality, prompting a targeted inquiry into misleading and sensational content amidincreased reports/enforcements.- Developed actor-based pipeline, averting ~6.3 million views in 30 days.- Identified transparency issues in TVC review, resulting in training of 20+ vendors on policies.- Formulated Al model prompts (Prompt Engineering) for Gen Al… Show more - Enhanced Discover proactive pipeline, optimizing workflow by 36%, and clickbait pipeline runtime by 58%.- Evaluated Discover corpus quality, prompting a targeted inquiry into misleading and sensational content amidincreased reports/enforcements.- Developed actor-based pipeline, averting ~6.3 million views in 30 days.- Identified transparency issues in TVC review, resulting in training of 20+ vendors on policies.- Formulated Al model prompts (Prompt Engineering) for Gen Al projects with model recall of 93%. At full scale, this can save up to 50% manual reviews operation expenses. Show less

- Implemented and maintained multiple metrics, dashboards using Google Sheets and other Data Visualization tools.- Analyzed complex datasets with 1000+ rows using SQL and monitored the established data pipeline on Airtable.- Worked with the Management team to understand business requirements and provide insights.

- Collected and organized data on advanced modules of Blockchain and its applications in healthcare.- Developed a dashboard in MS Excel, decreasing time to understand health-driven surveys by over 3 times.

- Deployed a machine learning regression model using python’s flask and sklearn library, with an accuracy of 89.5%.