Headline

Data Platforms & FinTech | GCP Certified | NextLeap PM Fellow | Deloitte USI

About

I spent 5 years at Deloitte USI as the person on data engineering teams who kept asking: why are we building this, and how do we know it worked? That question led me to own product roadmaps, run stakeholder discovery, write OKRs, and ship outcomes — cutting data incidents by 25%, bad-data ingestion by 20%, and migrating a critical cloud platform with zero rollbacks — all without the PM title. Now I'm making the title official. I'm seeking remote Product Manager, Technical PM, or Strategy roles in FinTech, data platforms, or AI — where commercial impact and technical credibility both matter. Triple GCP certified. NextLeap PM Fellow. Based in Bengaluru; fully open to remote-first or globally distributed teams.

Location

Bengaluru

AI stack

claude

deepseek

gemini

Work experience

Consultant: AI & Data at Deloitte, Apr 2024 - Present · 2 yrs 7 mos, Bengaluru, Acting as product owner for data infrastructure initiatives serving Wells Fargo - Ran discovery interviews that surfaced a reporting gap in Wells Fargo's marketing campaign data; led delivery of a Prophet-based anomaly detection system for 8 critical financial trait tables, reducing bad-data ingestion by ~20%. - Drove the GCP cloud migration of promo account master tables (Hive/Teradata → BigQuery, Airflow, Composer); defined the success metric suite, coordinated cross-functional stakeholders, and shipped with zero rollbacks. - Identified the team's biggest operational drag through a time-and-motion audit; automated SDG processing with Python and Autosys, reclaiming 15+ analyst hours/month — adopted across two additional workstreams.

Product Manager Fellow at NextLeap, Jul 2025 - Nov 2025 · 5 mos, Bengaluru, Problem: GPay processes ₹4.83 lakh crore in transactions annually — and makes almost no profit from them. UPI's zero-fee structure means 150M+ users generate minimal revenue despite massive engagement. Research: Before jumping to solutions, validated whether the problem was worth solving. Conducted 7 live user interviews across customer and merchant segments Collected 21+ survey responses Key insight: 81% of users have no preference between UPI apps — the market is undifferentiated 62% of users expressed interest in additional in-app features beyond payments Solution Design: Applied 5-Why root-cause analysis to diagnose the monetization gap. Designed three solution pillars — Top G Services (GScore + GMoney), In-App Purchases, and Investment/Insurance Offerings — and prioritized using ICE scoring. Top G Services scored 26.7 vs. nearest alternative at 16. Execution: Built Figma and Balsamiq wireframes across key user flows. Prototyped a no-code feature landing page using Dorik to test real-world deployment feasibility. Market Research: Benchmarked against PhonePe, Paytm, CRED, and Groww to identify whitespace. Sized TAM at INR 10B+ for microlending alone. Outcome: Defined North Star Metric (Monthly Active GMoney Users), full adoption/engagement/retention/monetization KPI framework, and risk mitigations for data privacy and credit default.

Analyst: Product at Deloitte, May 2023 - Mar 2024 · 11 mos, Bengaluru, Served as product-side liaison for a data governance tooling rollout at UScellular (Erwin DI). - Defined data quality KPIs and built stakeholder dashboards that fed directly into sprint planning and backlog grooming sessions. - Validated data models, created end-to-end data lineage, and imported metadata via S2T connectors — zero defects at go-live. - Mentored 2 junior analysts on governance workflows; reduced their onboarding ramp by ~2 weeks.

Analyst: Big Data at Deloitte, Jul 2021 - Apr 2023 · 1 yr 10 mos, Bengaluru, Owned the product roadmap for a telecom data quality program at UScellular. - Gathered requirements across compliance, analytics, and marketing; wrote user stories and acceptance criteria for 6 workstreams; applied MoSCoW prioritization — cutting data incidents by ~25% in two quarters. - Built 150+ ETL mappings (Informatica, Talend, Hive) supporting the enterprise data lake at 99.9% uptime. - Collaborated with marketing campaign teams to co-design data models for conversion analytics; translated business rules into reusable SQL templates, reducing development time by ~30%.

Data Analyst Intern at Peacock Solar, Mar 2021 - Jun 2021 · 4 mos, Remote, Built an AI-powered lead generation tool (Python OCR) to extract data from identity documents. Aligned the solution with sales and marketing requirements through structured stakeholder sessions. Delivered a ~15% lift in qualified lead volume within the internship period.

Founder's Office at Skillics Learning Solutions, Jan 2019 - Dec 2019 · 1 yr, Jalandhar Area, India, Responsible for recruitment and management of students for Personality Development Course, taught by the Dr Amit Lal, Founder of Skillics Learning Solutions himself. Also, worked with Data Scrapping Team for gathering UX/UI data of visiting customer and leads on a portfolio of websites

Data Science Intern at Skillics Learning Solutions, Aug 2018 - Dec 2018 · 5 mos, Jalandhar Area, India, Learned and applied research designs (exploratory, descriptive, causal), data assumption testing (normality, skewness, kurtosis), hypothesis testing, ANOVA (one-way, two-way), regression, cluster analysis, factor analysis, and conjoint analysis. Worked on customer and people analytics to predict behavior and performance using SPSS, Python (Jupyter Notebook), and Excel.

Education

Bachelor of Technology - BTech, Instrumentation and Control, Dr B R Ambedkar National Institute of Technology, Jalandhar

+2 Standard, Physics, Chemistry, Mathematics, Bhai Nand Lal Public School