Aug 2023 – May 2025 · 1 yr 9 mos · Noida, Uttar Pradesh, India · Hybrid

• Drove a xx% increase in borrower repayments by analyzing and optimizing recollection strategy.
• Accelerated loan on-boarding by yy% by streamlining the customer journey and eliminating key obstacles.
• Engineered a xx% reduction in UPI autopay technical failures through collaboration with cross-functional teams.
• Built actionable alerting mechanisms using PySpark for key metrics, enabling proactive intervention and reducing potential losses.
• Collaborated with engineers and PMs to build schemas and front-end event tracking for new product features, ensuring accurate and comprehensive data capture.
• Built optimized OLAPs using Spark SQL for key metrics, and reduced dashboard loading time by 75%, significantly improving stakeholder efficiency in accessing critical data insights.
• Developed 20+ interactive Looker dashboards, enabling data-driven decision-making across the team by democratizing key business insights.

Oct 2021 – May 2023 · 1 yr 7 mos · Remote

• Automated manual process of sending push notifications by building in-house tech infra and data science models. Saved xx Cr. INR per annum on 3rd party tool.
• Increased notification click rate by xx% through personalised product recommendations generated in near-real time using data science models.
• Increased the orders for branded products by xx% by strategic placement of in-app banners.
• Achieved xx% increase in the adoption of image search feature by introducing contextual in-app nudges.
• Ran continuous iterations of gamification constructs and multiple A/B experiments as proof of concept to increase the app engagement.
• Led the end-to-end process for 25+ A/B tests, encompassing test design, metric analysis, user feedback integration, and collaborative engineering to resolve bugs and scale successful variants.
• Mentored junior analysts and new joiners on SQL, R and A/B testing methodologies.

Oct 2020 – Oct 2021 · 1 yr

• Identified and pinpointed conversion funnel bottlenecks through data analysis, increasing premium service subscription sales by xx%.
• Built an automated reporting system to proactively track instances of low service quality, reducing them by ~yy%.
• Developed a framework for forecasting call center agents required in future months.

Jan 2020 – Oct 2020 · 9 mos

May 2019 – Jul 2019 · 2 mos · Navi Mumbai, India

• Received PPO.
• Discovered potential of saving xx crores INR annually in supply chain cost by use of custom designed containers.
• Proposed an IoT based solution for efficient management of containers which could reduce the operations time by yy%.
• Only student to be selected for the internship out of 80+ applicants.