Product Manager at Learnship Networks GmbH (2023-04 – Present)
Owned and scaled Customer Dashboard & AI Evaluation platform serving 1.2M+ users across enterprise clients
- Built a unified dashboard for enterprise clients including Amazon, IBM and Nestle to manage licenses, track learner progress and access insights saving CS teams ~15–20 hours per week and driving a 50% increase in feature adoption across accounts.
- Conducted 40+ customer interviews with enterprise admins to identify friction in license creation, reporting and user tracking. Simplified key workflows improving admin NPS by 30%
- Built and scaled an AI evaluation system (NLP + human-in-the-loop) to automate subjective assessments, reducing turnaround time by ~80% and manual review effort by ~65%
- Addressed accuracy gaps for advanced learners by introducing adaptive scoring thresholds and human override mechanisms, which reduced evaluator override rates by 25% while maintaining feedback speed.
- Redesigned enterprise onboarding flow, introducing self-serve setup tools and cutting CS back-and-forth, brought time-to-first-value down from 2–3 weeks to under a week and reduced CS time spent per onboarding by ~40%.
- Reworked authentication and API flows after linking uptime issues to renewal risk, improving platform reliability from 86% to 99.5% uptime and reducing access-related escalations.
- Contributed to $10M in enterprise deal value, with dashboard and evaluation capabilities frequently cited by customers during product evaluations.
Product Manager (Founding Team) at Qwk (2021-01 – 2022-12)
Built and scaled a super app combining payments and Q-commerce from 0 to 5000+ daily orders
- Defined product direction from 0 to 1 by shaping core user journeys across discovery, checkout and fulfillment, setting the foundation for early roadmap decisions.
- Improved checkout and payment flows, increasing transaction completion by 20% through better failure handling, automatic retries and simplified UX.
- Led development of an AI-driven dynamic slot pricing and ETA prediction system, replacing static delivery windows with demand-based pricing; reduced cancellations due to ETA mismatch and improved fulfillment predictability for users and merchants.
- Launched a loyalty system combining push nudges, personalised offers and rewards, improving D30 retention by 30% and increasing repeat transactions within two quarters.
- Built the merchant and operations platform from 0 to 200+ merchants, covering onboarding, KYC, order management and performance tracking, improving activation rates and reducing reliance on manual support.
- Scaled operations from early traction to ~5000 daily orders, improving fulfillment efficiency and reducing support turnaround time through better tooling and workflows.
Product Specialist at Swarnabhoomi Academic Institutions (2020-01 – 2021-01)
- Identified inefficiencies in student lifecycle processes through stakeholder discussions and process mapping; built a workflow platform to digitize admissions, onboarding and tracking.
- Reduced turnaround time across key student workflows by ~50%, improving visibility for internal teams and enabling faster decision-making
Product Analyst at Wedding Wishlist (2017-03 – 2019-12)
- Analyzed user funnels to identify drop-offs in onboarding and purchase journeys; improved registration conversion by ~15% through targeted UX and flow changes.
- Identified high-value customer segments using cohort analysis and contributed to launching premium product categories, driving ~25% revenue growth
