Kartik Singhal
Product and analytics professional with 5+ years at Adobe and in fintech, driving discovery, prioritization, and launch decisions for products serving 12M+ monthly active users. Delivered measurable impact across 0-1 launches, growth experiments, and GenAI feature design. Mentored a 2-person team and influenced engineering, design, growth, and sales stakeholders.
Work Experience:
5.3 Years
Industry:
BFSI | FMCG & E-Commerce | Technology
Function:
Consulting & Strategy | Data Science & Analytics | Product Management
Adobe (Leading software company for creative design) | Noida
Data Scientist - Pro Design
- Reframed the GenAI flow after shadowing frustrated designers one-on-one, swapping hidden prompts for a transparent Surprise Me entry point and adding post-generation editing layers, lifting repeat usage 7% and CSAT 16%
- Initiated a structured PM apprenticeship under a Principal PM, with 10+ user interviews and 4+ competitor teardowns to find gaps in Creative Cloud, then prototyped and pitched an AI-first charts web app that leadership approved for pilot
- Owned design and analytics for Discovery Mode on Illustrator Web, an entry experience that lets non-entitled users try the product before paying, driving a 2× increase in MAU and ~$700K in incremental revenue within 2 months.
- Built the Value Realization framework, mapping feature complexity via SME interviews and Adobe Analytics telemetry to segment novice, intermediate, and power users, driving campaigns that lifted engagement 7% and adoption 10%
- Led the cross-functional Elixir project (performance optimization), cutting reporting cycles 75% and saving $12K+ monthly
Bright Money (US-Indian fintech platform reducing American consumer debt) | Bengaluru
Senior Product Analyst - Lending Product, Analytics & Growth
- Owned the Disbursement Management system end-to-end for the lending launch, spanning UI/UX and telesales, and redesigned it with progressive disclosure which contributed to $900K+ in disbursements and 20% higher conversion
- Achieved a 2.5× improvement in credit uptake by applying choice architecture in the Onboarding UX
- Mentored a 2-person analytics team and set experimentation standards adopted across lending, savings, and growth
- Improved lead quality with the Growth team on targeting and channel optimizations; drove a 10% increase in credit uptake
- Owned end-to-end lending product analytics: Established comprehensive KPI frameworks and executive dashboards that informed product strategy and weekly C-suite reporting
Senior Data Analyst - Growth Analytics & Segmentation
- Led end-to-end optimization of the onboarding funnel; improved funnel conversion by 15% and average order value by 23–30% through user-journey diagnostics and stage-level UX changes co-designed with Growth and UX.
- Designed and rolled out a cashflow-behaviour-based user segmentation framework; adopted company-wide for product pivots, onboarding personalization, credit decisioning, and funnel optimization
Data Analyst - Provider & Integration Analytics
- Cut $25K+ in monthly spend by removing redundant third-party APIs and reworking provider integration logic
- Built automated routing that sent new users to the highest-converting provider, lifting funnel conversion 10%
- Winner, Intra-team Product-Led Growth Hackathon, Adobe 2024, for best idea and prototype
- Impact Maestro Award and 3+ Sprint awards, Bright Money, for analytics-led product impact (2021 to 2023)
- Promoted twice in 18 months, from Data Analyst to Senior Data Analyst to Senior Product Analyst
- Bachelor of Technology (Information Technology), Guru Gobind Singh Indraprastha University, Delhi
- Digital Product Management, University of Virginia Darden School of Business (2025)
- Python Programming, Mapping Minds (2018)
- Data Science, Radix (2018)
- Member – ProdMan Club, IIMA
- Team Captain – Table tennis, IIMA PGPX
- Business Analyst Intern, Urban Company (Oct'19–Aug'20): Optimized provider matchmaking algorithm to lift daily orders by 30%, cut reporting cycle time 10% via SQL workshops for 15+ managers, and automated inventory forecasting