Jan 2025 – Present · 1 yr 2 mos · Atlanta, Georgia, United States

Aug 2024 – Present · 1 yr 7 mos · Atlanta, Georgia, United States · On-site

• Graduate Research Assistant working for the Scheller School of Business.

Jan 2023 – Jun 2024 · 1 yr 5 mos · Hybrid

• Led a team of 3 product analysts to prioritize features, influence senior stakeholders, and enhance a machine learning platform used by 12K+ employees across fraud, risk, and marketing, enabling $125–140M in annual impact
• Launched a self-serve “Modeling-as-a-Service” (MaaS) framework, decreasing model deployment time by 20% and empowering 30+ non-technical teams to build and deploy models independently
• Boosted user satisfaction by 15% through UI/UX enhancements informed by voice-of-customer interviews and usage analytics; earned the Champion Innovator Award for driving platform adoption

Sep 2021 – Jan 2023 · 1 yr 4 mos · Hybrid

• Charted a multi-quarter product roadmap aligned with leadership goals; presented strategy to senior executives and launched 10+ new capabilities, achieving a 9x productivity lift for 1,200+ users and earning the Overachiever Award
• Orchestrated a large-scale GCP (Google Cloud Platform) migration for model workflows and compute pipelines, reducing infrastructure costs by 45% while enhancing scalability and system reliability
• Facilitated agile project management activities, leading sprint planning, reviews, and retrospectives, simplified project bottlenecks by 35%, in terms of risks and cross-team dependencies, promoting team productivity by 50%

Jan 2021 – Sep 2021 · 8 mos

• Delivered a fraud detection dashboard for a top U.S. bank, surfacing ~3,500 high-risk transactions across 5 product lines; enabled policy changes and improved cross-functional fraud mitigation
• Directed a cross-functional team of engineers, compliance, and security stakeholders to automate internal access management, reducing manual processing by 30% and generating $5M+ in annual savings
• Redesigned retail lending data pipelines using SQL and PySpark, boosting data accuracy by 25%, cutting analyst hours by 70%, and enabled $1M+ in annual productivity gains through faster reporting

Jul 2019 – Jan 2021 · 1 yr 6 mos

• Optimized the data pipelines using pyspark for implementing multiprocessing, making the ETL process 1.3 times faster.
• Accomplished implementing a customer relationship reporting dashboard, which provided the strategy team with customer/housing level data to generate better insights.

Jun 2018 – Jul 2018 · 1 mo · Faridabad Area, India

• - Designing an embedded system for a vehicle cabin for monitoring levels of carbon dioxide and oxygen present continuously and which raises an alarm and a proper ventilation is provided if the levels of gases go beyond the safety standards.

May 2017 – Jul 2017 · 2 mos · Gurgaon, Haryana, India

• - Implementing software solutions and hardware requirements for an open source Telecommunication project supervised by Facebook Inc. and Performing Functional tests, User Interface Tests and creating the desired documentation.

Dec 2016 – Jan 2017 · 1 mo · Mumbai, Maharashtra, India

• Product development using microcontrollers and microelectronics.
• Using micro-controller development platforms such as Arduino and AVR.
• Worked on implementing some ideas in a wearables smartwatch for blinds such as Voice recognition based alert system, Gesture recognition using accelerometers.