Deep Chavan

Product Associate with hands-on experience across product discovery, customer research, requirements, Agile delivery, product analytics, workflow modernization and AI-enabled products. Experienced in translating ambiguous user and business problems into product requirements, user stories, acceptance criteria, prototypes and measurable outcomes. Technically fluent in APIs, SQL, Python, data workflows and AI, with experience collaborating across business, design and engineering teams.

Product Associate - CATKing Educare

• Built a centralized Product Analytics platform unifying lead and applicant data across 18+ acquisition sources, enabling attribution analysis, funnel reporting, campaign performance tracking, and partner analytics.
• Led the development and launch of CATKing's AI-powered Lecture Notes platform, automating the end-to-end generation of branded study notes from recorded live lectures; increased daily downloads from ~200 to 500+ while eliminating manual effort and reducing Customer Support workload by 3–4 hours/day.
• Redesigned the Attendance Management Workflow by improving business logic and introducing analytics dashboards, faculty performance tracking, lecture participation insights, student segmentation, and automated reminder workflows.
• Defined user stories, experimentation hypotheses, and success metrics for Android A/B tests, collaborating with Design and Engineering to validate product improvements through data-driven experimentation.
• Partnered with Leadership, Engineering, Design, Marketing, Operations, and Customer Success to prioritize product initiatives, define roadmaps, and deliver AI-driven product enhancements.

Bachelor of Engineering (B.E.) - Information Technology - Thadomal Shahani Engineering College (2026-06)