Oct 2023 – Dec 2023 · 2 mos · New York City Metropolitan Area · On-site

• The Project was designed to automatically detect regulatory risks in multimedia content, including video marketing, video conferencing, and audio recordings, using ML Models. It succeeded by effectively identifying regulatory risks and gaining confidence in my project management skills and technical expertise.
• Evaluated Sentimental analysis accuracy for customer opinions and skills in data preprocessing.

May 2023 – Sep 2023 · 4 mos · United States · Remote

• Built a Flask web app with Vertex AI and OpenAI integration for real-time image captioning, reaching 500+ test users. Optimized backend to respond under 2 seconds per image, boosting user satisfaction. Automated deployments with GitHub CI/CD and Vertex AI, cutting release prep from days to hours, and streamlined metadata processing with JSON schemas for consistent integration.

Aug 2022 – Apr 2023 · 8 mos · New York City Metropolitan Area · On-site

• My responsibilities as a Graduate Teaching Assistant at Pace University included creating a cooperative and stimulating learning atmosphere for students taking Python and Algorithms for Data Science courses. I helped with the creation and delivery of the teaching materials, assisting students in understanding the nuances of algorithmic ideas and Python programming. My duties encompassed facilitating interactive dialogues, delivering practical coding tasks, and giving individualised support to students to improve their comprehension of the syllabus. Furthermore, I oversaw lab sessions where I helped students apply their knowledge of Python programming to solve real-world data science challenges and provided examples of how algorithms are used in practice. Through this experience, I helped students become more adept at using Python programming and develop their capacity to successfully use algorithms in data science applications.

Jul 2019 – Sep 2021 · 2 yrs 2 mos · India · On-site

• Developed an automated email classification system with Reactive Swift and REST APIs, processing 10,000+ emails daily to improve workflow efficiency. Built Python ETL pipelines to automate data ingestion and reporting, saving 30+ analyst hours per month. Created Tableau dashboards for 25+ KPIs, cutting decision turnaround time from weeks to days. Analyzed e-commerce search behavior with Python and SQL, driving product recommendations that increased search-to-purchase conversions by 35%. Implemented data validation and anomaly detection scripts to enhance pipeline integrity and ensure accurate, timely analytics updates.