Kartik Singhal

Kartik Singhal

Data Scientist at Adobe with 5+ years across product analytics, PM, and growth. Led 12M+ MAU initiatives on Illustrator/InDesign and 0-1 fintech launches at Bright Money. Skilled in user research, A/B testing, segmentation, and data-driven product strategy.

Work Experience:

5.3 Years

Industry:

Banking Financial Services and Insurance (BFSI) | FMCG & E-Commerce | Technology

Function:

Consulting & Strategy | Data Science & Analytics | Product Management

Work Experience

Adobe (Leading software company for creative design) | Noida

Data Scientist - Pro Design

  • Initiated a structured PM apprenticeship under a Principal PM; conducted market research, 4+ competitor analysis, and 10+ user interviews to identify product gaps and strategic opportunities for the Creative Cloud suite
  • Prioritized five product ideas using RICE scoring; prototyped a new Charts & Infographics web app integrated with Creative Cloud, pitched the concept to leadership, and secured approval and initiated process for pilot development
  • Supported design and analytics for the "Discovery Mode" experience on Illustrator Web, enabling non-entitled (free) users to explore the product; contributed to a 2× (up to 6× in peak periods) increase in MAU
  • Led the cross-functional "Elixir" (performance optimization project) dashboard/data-pipeline project; achieved 75% faster reporting refresh cycles and delivered $12K+ in monthly cost savings by consolidating redundant data infrastructure
  • Improved GenAI repeat usage by 7% and CSAT by 16% by adding post-generation editing layers and replacing hidden, complex prompts with a transparent "Surprise Me" button. Designed after shadowing frustrated designers in 1:1 sessions
  • Mapped feature complexity across Illustrator through SME interviews and behavioral telemetry and developed a user segmentation model (Value Realization framework) classifying personas by app proficiency (novice/intermediate/power user); enabled personalized in-app campaigns that improved legacy features engagement by 7% and new features adoption by 10%
  • Led the Illustrator GenAI kickstarter campaign through personalization of first-time-user onboarding, improving GenAI feature adoption by 5%
  • Leveraged Adobe Analytics, Mixpanel, and internal tools to monitor product performance, identify trends, and drive continuous improvements across features and UX

Bright Money (US-Indian fintech platform reducing American consumer debt) | Bengaluru

Senior Product Analyst - Lending Product, Analytics & Growth

  • Part of the lending product's 0-to-1 launch; owned the Disbursement Management system end-to-end including UI/UX flow design and telesales integration
  • Redesigned the disbursement UX using a Breadcrumb (progressive disclosure) approach; contributed to $900K+ in disbursements and a 20% increase in disbursement conversion
  • Led a 3-person analytics team, establishing measurement and experimentation frameworks that were adopted across all business units (lending, savings, growth)
  • Achieved a 2.5× improvement in credit uptake by applying choice architecture principles to the credit decision and offer-acceptance flow
  • Improved lead quality by partnering 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, definition and maintenance of KPIs, stakeholder reporting cadences, and ad-hoc deep dives

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-behavior-based user segmentation framework; adopted company-wide for product pivots, onboarding personalization, credit decisioning, and funnel optimization

Data Analyst - Provider & Integration Analytics

  • Saved $25K+/month by eliminating redundant third-party APIs and optimizing integration logic across the provider-aggregation flow
  • Built automated provider/institution routing logic that directed new users to the highest-converting provider; improved funnel conversion by 10%
Accomplishments
  • ⁠ ⁠PLG Hackathon Winner — Adobe (2024) Won the intra-team Product-Led Growth Hackathon at Adobe for best idea and prototype design among multiple cross-functional teams.
  • ⁠ ⁠Impact Maestro Award — Bright Money (Q3 2021) Received the Impact Maestro award from leadership for consistent excellence and analytics-led product impact during Q3 2021.
  • ⁠ ⁠Multiple Sprint / Spotlight Awards — Bright Money (2021–2023) Recognized across 3+ sprints for analytics-led product impact, ranging from funnel optimization to cost-savings initiatives.
  • ⁠ ⁠Rapid Career Progression — Bright Money Promoted twice within ~18 months: Data Analyst (Nov 2020) → Senior Data Analyst (Jan 2022) → Senior Product Analyst (Jun 2022).
  • ⁠ ⁠Academic Performance Graduated among the top of the batch in B.Tech (Information Technology) cohort.
Education
  • Bachelor of Technology (Information Technology), Guru Gobind Singh Indraprastha University, Delhi
Certification
  • ⁠ ⁠Digital Product Management University of Virginia – Darden School of Business (2025)
  • ⁠ ⁠Machine Learning and Deep Learning Coding Blocks (Aug 2018 – Dec 2018)
  • ⁠ ⁠Data Science Mapping Minds (Feb 2018 – May 2018)
  • ⁠ ⁠Python Programming Mapping Minds (Nov 2017 – Feb 2018)
  • ⁠ ⁠Data Structures and Algorithms Coding Blocks (Jun 2017 – Jul 2018)
Extra-curricular
  • 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 to reduce demand-loss 5%