Jan 2025 – Apr 2025 · 3 mos · Pittsburgh, Pennsylvania, United States · Remote

• Key responsibilities include:
• Analyzed 1.6 million consumer complaints to identify hidden themes, enhancing issue taxonomy for improved tracking.
• Developed a comprehensive dashboard for the compliance team, significantly reducing manual review efforts.
• Contributed to TIAA's mission of delivering exceptional financial services by leveraging data-driven insights.

Jul 2022 – Jul 2024 · 2 yrs · Hyderabad, Telangana, India

• Key accomplishments include:
• Designed and deployed regression models that cut semiconductor wafer measurement time by 30%, allowing for faster experimentation, reduced process flow bottlenecks, and improved FAB-wide productivity.
• Spearheaded the creation of automated classification pipelines utilizing machine learning algorithms; detected 15% more defective wafers earlier, minimizing downstream rework and product losses.
• Developed real-time Streamlit dashboards to automate wafer lot health monitoring, cutting manual oversight and enabling engineers and operators to reduce preparation time by nearly two weeks.
• Orchestrated ETL processes, integrating unstructured sensor data into a unified BigQuery data warehouse, cutting query times by 40% and enabling real-time statistical process control charting.
• Conducted in-depth root cause analysis on recurring production errors using statistical methods, driving process optimizations that led to over $10M in annual cost savings through reduced downtime and improved yield.
• Coordinated with data engineers & business stakeholders to translate model insights into actionable strategies, leading to a 20% improvement in production efficiency and alignment with long-term business objectives, and reduced downtime

Mar 2020 – Aug 2020 · 5 mos · India

• Key accomplishments include:
• Built churn models in Python to analyze user behavior on the platform, generating insights that drove targeted growth strategies and increased user penetration by 5%.
• Engineered automated reporting pipelines leveraging Tableau and Python, enabling product managers to identify and address the top three causes of user churn within the first two weeks of implementation.
• Developed automated reporting pipelines to monitor in-app and Google Play errors, reducing manual QA effort by 30% and accelerating the feedback loop between product and engineering teams.

Sep 2019 – May 2020 · 8 mos · Kharagpur Area, India · Hybrid

• • Devised working ideas to promote the reach of Avenoir to its desired audience which included advertisement campaigns, market presence, online presence, and put into action during Inter-IIT events.

Nov 2018 – Mar 2019 · 4 mos · Kharagpur Area, India

• Organized the Global Entrepreneurship Summit 2019 held in the IIT Kharagpur campus.
• Managed 2 sub-events and managed a team of 5 people to successfully conduct the sub-events.
• Organized the Kharagpur Angel Network, Gurgaon, and Bengaluru and networked with start-ups of IIT Kharagpur.

Mar 2018 – Nov 2018 · 8 mos · Kharagpur Area, India

• Organized Entrepreneurship Awareness Drive Mumbai 2018, to promote entrepreneurial culture all across India.
• Managed participation of 700+ people and co-ordinated the entire event with a team of 10 people