9+ years turning customer signal into shipped product — onboarding, retention and monetization for SaaS. Currently deep in AI‑first product management, with nine self‑directed case studies covering growth strategy, churn, UX audits, AI prototyping and 0‑to‑1 design across consumer and B2B products.
Nine independent product problems, each carried end to end — research, strategy, prioritization and a tangible artifact (PRD, prototype or growth plan).
Heuristic-evaluated the post-Easy-Apply job search flow, ranked 8 usability issues by severity, and shipped a working redesign prototype.
Four lightweight AI tool concepts — voice ordering, health reminders, parking and EV charging — taken from problem discovery through user-flow design and prompt engineering.
78% of surveyed Chennai riders switched to Ola/Rapido over pickup confusion. Market sizing, a live user survey, interviews and a tested prototype.
An OKR-led plan to raise 30-day repeat orders from 40% to 62%, built on a 7-stage funnel teardown and 4 paired user cohorts.
70% of users stop adding to cart purely from spending anxiety. Reframed "spend more" as "spend smarter" to move AOV +8–15%.
Mapped the full funnel end to end and prioritized five growth epics by RICE — led by a 2,000-point onboarding fix.
A privacy-first learning recommendation engine for 3 personas — staged consent before behavioural tracking, by design.
D7 retention fell 34% YoY. A gamification + community-challenges PRD projected to lift D30 retention 25% in 90 days.
A Jobs-to-be-Done teardown of why Group Order never became the default for shared meals — and 15 changes to fix it.
Nine plus years across product-adjacent and product-facing roles, with a consistent thread: turn customer signal into shipped, measured outcomes.