Product manager turning customer insights into measurable product outcomes.

• Led Shyne, a consumer wellness app, from 16 user interviews to a three-feature MVP and Play Store launch in ~4 months; reached ~160 downloads, 120 registrations and 100 onboarding completions.
• Used Mixpanel feature-usage patterns and qualitative feedback to refine cycle-day flexibility and add manual mood journaling; advised two other early-stage AI products on segmentation, UX and validation.

• Product ownership: Proposed the CRM, mapped cross-functional operations and independently owned V1 scope, feature decisions and trade-offs within approved budget and timeline. Prioritized ~25 requirements for 28 internal users.
• Prioritization & execution: Deferred AI integration to protect cost and the 90-day V1 deadline; partnered with design and engineering on lead lifecycle, roles, attribution, payments and dashboards. Led UAT and rollout; retired spreadsheets within ~5 weeks.
• Funnel analytics: Used SQL and funnel analysis to isolate booked-call no-shows; introduced qualification, pre-sales calls and automated reminders. Attendance improved from 65/100 to 92/100 booked calls across before/after periods (no control group).
• Conversion & collections: Lead-to-sale conversion increased from 16% to 26% across observed monthly cohorts after CRM and follow-up changes. Defined credit pre-qualification, lender handoffs and repayment states; cash collected increased from ~35% to ~70% of contract value alongside financing and follow-up changes.
• Financial workflows & AI: Specified GST/TDS-aware invoicing and finance handoffs, reducing turnaround from ~7 days to 1 day. Subsequently introduced OpenAI-assisted lead scoring and pre-call guidance using a 14-question intake and ~1,000 historical transcripts.

• Synthesized ~60 prospect conversations to identify a scope-price mismatch in an Rs.8–12L flagship; shaped a focused Rs.3L offer for smaller service businesses. Evaluated willingness to pay, alternatives and delivery costs; acquired ~30 paid pilots in 45 days and scaled to ~10 monthly sales (Rs.30L/month).
• Selected an off-the-shelf LMS over a custom build to validate demand with limited engineering investment; considered segment fit and cannibalization when packaging the offer.

• Coordinated customer purchase journeys and surfaced recurring objections, affordability constraints and decision friction that informed later CRM, qualification and monetization workflows.

Analyzed 10,641 public documents to identify retrieval-friction patterns; combined 31 survey responses and six interviews to prioritize an AI-assisted recovery flow. In seeded-set testing, 3/3 target users recovered their intended photo.

Analyzed 2,055 public conversations, 20 survey responses and six interviews; prototyped an AI-assisted comparison flow and defined purchase-conversion, decision-speed and quality guardrails.

Analyzed 3,098+ customer conversations; revised the initial hypothesis toward contextual discovery and defined trial, repeat, GMV and checkout guardrails.