Role: AI Product Manager (AI Product)
Duration: 2026
Description: This product generates a single AI Readiness Score (0 to 100) from a user uploaded resume. The score represents how prepared the user is to remain valuable and effective in an AI first workplace within their detected career domain. The tool automatically identifies the top three criteria for evaluation based on domain signals found in the resume. The tool explains the score using only evidence present in the resume, and it refuses to answer criteria that are not supported by resume content.
Link: View PRD
Link: Working Prototype
Role: AI Product Manager (AI Product)
Duration: 2026
Description: InVideo AI Assistant is a conversational discovery and growth intelligence layer built for a paid video learning ecosystem. Instead of relying on traditional search and browsing, the product uses retrieval augmented generation, semantic intent understanding, and catalog grounded recommendations to guide users from problem to playback within a single chat interaction. The system ensures trust and relevance by restricting all recommendations to database verified content, delivering actionable video cards, follow up guidance, and seamless playback. Architecturally, the solution combines vector search using pgvector, Supabase managed embeddings, Gemini powered reasoning, and strict JSON response contracts to ensure reliability, observability, and scalable discovery as the catalog grows. The design prioritizes grounding, low friction user journeys, and measurable chat to play conversion, positioning the assistant as the primary interface for both content discovery and creator growth.
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Link: View Database Structure
Link: Working Prototype
Role:Product Manager (Analytics Focus)
Duration: 2025
Description: Conducted a detailed analysis of the expert signup funnel for XYZ—a platform connecting AI, tech, and healthcare experts with LLM training projects. Identified major drop-offs, segmented user behavior by source and client type, developed data-driven hypotheses, and proposed actionable product improvements to boost conversion.
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Link: View Product Doc
Role: Product Manager (Analytics Focus)
Duration: 2025
Description: Designed a scalable database schema for a subscription-based API marketplace.
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Link: View Database Schema
Role: Product Manager
Duration: 2025
Description: Created a consulting website to highlight business offerings, success stories, and industry expertise. Defined the content strategy, wireframes, and ensured fast load times and responsive UI.
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Role: Product Manager (Product Focus)
Duration: 2024
Description: I was tasked to enhance the onboarding experience for new users to increase user onboarding percentage and satisfaction.
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Role: Product Manager (Strategy & Analytics Focus)
Duration: 2024
Description: I was tasked to identify the problem and provide the solutions for the decrease in course engagement and completion rates of a popular Data Science course of an Ed-Tech company.
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Role: Product Management Intern
Duration: 2023
Description: I was tasked to review the product and come up with a flow that can further be improved.
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Role: Product Management Intern
Duration: 2023
Description: I was tasked to devise the GTM Strategy for a dashboard wireframing tool, Mokkup.ai.
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Role: Marketing Research Course Project at IIT Kanpur
Duration: 2022
Description: We leveraged Marketing Research tools and concepts like Surveys and analytical tools like SPSS to carry out this project.
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Role: Case Study Participant
Duration: 2022
Description: This project was a mix of Analytics and Finance knowledge; we used alternative asset management concepts along with Strategy and Analytics.
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Role: Data Mining Course Project at IIT Kanpur
Duration: 2022
Description: We used Apriori Algorithm and Market Basket Analysis.
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Role: Analytics Consulting Intern
Duration: 2022
Description: I used Python and Power BI for various steps (EDA, Market Analysis, and RFM Analysis) of the case study.
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Role: Analytics Consulting Intern
Duration: 2022
Description: I utilized Python and Power BI to optimize the Discount and Markdown Strategy for this case study.
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Role: Statistical Modelling For Business Analytics course project at IIT Kanpur
Duration: 2022
Description: Developed a model for “Prediction of occurrence of Diabetes” using Logistic Regression with Blood Pressure, Glucose, Age, Pregnancy, and Insulin as independent variables.
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