Product Manager with 5+ years in FinTech, SaaS & AI, driving revenue & CX improvement.
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Product Manager with 5+ years of experience in consumer, B2B SaaS products across lending, risk, payments, Gen AI and Agentic AI. Led post-disbursement customer experience and product initiatives, including 2 Cr monthly revenue generation, 11% increase in collection efficiency, 50% reduction in support calls by combining product discovery, user research, experimentation and iterations. Discovered friction points across the customer journey, defining success metrics, structured experiments and data-driven decisions.
IIIT-Bangalore
PG Diploma · Data Science
August 1, 2019 – June 30, 2019
IMS Ghaziabad
B.Tech · Computer Science & Engineering
August 1, 2015 – June 30, 2019
BharatPe
Manager - Product Capability Building
November 1, 2024 – March 1, 2026
Gurgaon, Haryana, India
Comviva Technologies
Product Manager 1 - Lending on Airtel Money
June 1, 2023 – October 1, 2024
Gurgaon, Haryana, India
Home Credit Finance
Senior Executive - Product Analytics & Planning
February 1, 2022 – June 1, 2023
Gurgaon, Haryana, India
IoT83 Softech
Software Engineer - Machine Learning & AI
March 1, 2020 – April 1, 2021
Gurgaon, Haryana, India
Product Management Course
GoPractice Inc.
October 1, 2022 – Present
Cultural Fit Analysis
The candidate has experience in diverse product environments, including FinTech (BharatPe, Home Credit Finance), SaaS (Comviva Technologies), and IoT/AI (IoT83 Softech). Their career progression from Software Engineer (ML/AI) to Product Manager roles, coupled with a PG Diploma in Data Science, shows a strong inclination towards data-driven and technologically advanced product development. This breadth of experience and continuous learning aligns well with dynamic, innovation-focused cultures.
Soft Skills & Operational Fit
The candidate's resume highlights strong problem-solving skills, a data-driven decision-making approach, and effective stakeholder management. Their experience in leading redesigns, implementing automation, and executing pilot experiments demonstrates a structured and results-oriented operational fit. The ability to collaborate with engineering, product operations, and data science teams indicates good cross-functional communication and teamwork.