Delhi, India
I didn’t start in tech. I studied English Literature and thought I’d build a life around writing. But somewhere along the way, I got curious about how digital products are built. That curiosity slowly pulled me into the world of AI product building. I began as a Product Analyst. I used every chance I got to ask questions, break things, fix them, and learn. Over time, I moved into a Product Manager role. It wasn’t easy, but every small step added up. These days, I explore AI tools almost every day. I’m fascinated by how they’re changing the way we work. I test AI agents, AI automations, and AI models just to see what’s possible. I also share what I learn on LinkedIn to help others in the same space. Collabs: passionfroot.me/leon-jose
𝗦𝗰𝗮𝗹𝗲𝗱 𝟬% 𝗘𝗠𝗜 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 – ₹𝟬 → ₹𝟭𝟯 𝗖𝗿 𝗗𝗶𝘀𝗯𝘂𝗿𝘀𝗮𝗹 𝗶𝗻 𝟵𝟬 𝗗𝗮𝘆𝘀 - Launched TrillionLoans(BharatPe) for 0% EMI across SaveIN’s offline healthcare network. - Achieved ₹13 Cr+ disbursal in first 3 months through UX improvements, BSA addition and lender routing fixes. 𝗦𝗮𝗹𝗲𝘀 𝗔𝗽𝗽 (𝗔𝗻𝗱𝗿𝗼𝗶𝗱) – 𝗕𝘂𝗶𝗹𝘁 𝗳𝗼𝗿 𝗮 𝟲𝟬-𝗺𝗲𝗺𝗯𝗲𝗿 𝗚𝗿𝗼𝘄𝘁𝗵 𝗧𝗲𝗮𝗺 - Designed and launched the SaveIN Sales App from scratch after conducting market visits and workflow research. Created wireframes, PRD and feature architecture for: 1. Location-based BD tracking (Unolo + device GPS) 2. Route planning & daily visit journey 3. Merchant analytics 4. BD performance insights 5. Real-time notifications & visit alerts - Upgraded the team from a basic web dashboard → a fully functional mobile app, improving reporting consistency and on-ground efficiency. 𝗦𝗮𝘃𝗲𝗜𝗡 𝗣𝗮𝘆 𝗟𝗮𝘁𝗲𝗿 - Conducted market research with D2C brands and aggregators to shape SaveIN’s Pay Later product strategy. - Created detailed PRDs, internal documentation, and lender-facing specification documents to align stakeholders. - Designed two new product structures: Customer Interest Bearing (CIB) and Advance EMI - collaborating closely with the CFO and Senior Data Scientist. 𝗝𝗼𝘂𝗿𝗻𝗲𝘆 𝗥𝗲𝘃𝗮𝗺𝗽 - Revamped the entire Offline EMI journey (ETB + Digital Loan + CC EMI) by reducing steps, merging APIs, and unifying flows across QR, link, Offline, and Online checkout. - Consolidated APIs (Credit Check + Set Limit → single unified API), improving speed and reducing failure points across all lenders. - Integrated key risk & compliance checks including PAN v3, PAN–Aadhaar linkage, CRIF re-trigger, active loan validation, pincode intelligence, and Taktile face-match logic. - Built improved lender routing logic → ETB → NBFC fallback → CC EMI, reducing drop-offs and improving eligibility outcomes.
Developed and optimized 13 product funnels in SQL for personal loans, identifying key drop-offs and achieving a 15% increase in offer selection rate. Worked directly with Product Managers, partnering with developers and tech teams to troubleshoot and resolve API issues, reducing rejections by 17%. Supported backend improvements for CRM automation, boosting accuracy by 20%. Conducted extensive testing on 30+ APIs with Postman, resolving inconsistencies for 5 major lender integrations and documenting processes to streamline troubleshooting by 40%. Built 8 Clevertap funnels to analyze offer page interactions, improving offer selection by 8%. Maintained MIS reports with 99% accuracy, coordinating with Growth and Tech teams to resolve data inconsistencies. Analyzed 60000+ loan disbursals, identifying top rejection reasons and advising on updates that boosted disbursals by 12%. Consolidated 15+ lender API data sources, reducing data retrieval time by 30% for efficient reporting.
• Wrote SQL queries to extract data from databases efficiently. Developed, maintained, and optimized SQL Queries and stored procedures. • Collaborated with RevOps team and maintained live prospects dashboard on Google Looker Studio, connected with Google Sheets • Prepared and cleaned data for analysis, including data normalization, aggregation, and transformation. (SQL, Excel and Tableau) • Ensured accurate data by performing thorough validation and quality checks. Worked together with business and data teams to comprehensively grasp the data requirements and objectives. • Leveraged the power of data visualization using sophisticated tools like Tableau to create captivating and informative reports and dashboards. Presented the findings to stakeholders in a visually engaging and interactive manner, unleashing the full potential of data-driven insights. Translated complex data into clear and understandable visual representations.