Dev Pal - Data Science Professional

Dev Pal

I'm a data scientist & investor with expertise in foundational analytics and causal inference.
Outside work, I enjoy cold brewed coffee walks, writing, and hot yoga.

Expertise

Technical Skills

Data Science

  • Experimentation & A/B Testing
  • Causal Inference & Machine Learning
  • Generative AI (LLM) Implementation
  • SQL, Python, Data Visualization
  • Product Analytics & User Research

Strategy & Leadership

  • Cross-functional Collaboration & Leadership
  • Stakeholder Management & Communication
  • Goaling & H-planning Analytics
  • Zero-to-One Product Growth
  • Succinct Written & Verbal Communication
Key Achievements

Impact & Results

Launches & Growth

  • TikTok Shop: Led foundational data science for launch from 0 to significant GMV in months
  • Instagram Notes: DS partner for successful launch of 4th sharing format, "Notes".
  • Add Yours Sticker: DS partner driving Story creation by +0.6pp on Instagram Stories
  • Ola Growth: Early analytics hire at India's leading ride-sharing startup, scaling from 0 to 128K daily rides

Revenue Impact

  • Postmates SMB: Designed co-funded merchant promotions driving 8.7% transaction growth during pandemic
  • NBA Live: Developed data-driven frameworks increasing digital store spend by +1.7pp
  • FarmVille 2: Improved paid user retention by +1.7pp at Zynga
  • Consulting analytics for bank: Customer segmentation pilot, $300K annual savings.
Education

Academic Background

M.S. INFORMATION SYSTEMS

Carnegie Mellon University | Pittsburgh, PA
  • Graduated cum laude
  • Teaching Assistant for Data Mining and Statistics

B.ENG. ELECTRICAL ENGINEERING

BMS College of Engineering | Bangalore, India
  • Graduated with distinction
  • Designed Smart Wheelchair featured in Times Of India
Core Principles

My Approach to Data & Product

  • Ask if something is important, over interesting
  • Share stories, not just data points or analyses
  • In consumer tech, sensitivity often outweighs specificity
  • Build supply first, then demand - the latter is more elastic
  • Have opinions but don't be married to them
  • Fix a leaky bucket before turning on the faucet
  • Iterate daily rather than perfecting once - consistent progress beats perfection
  • Most decisions are reversible - prioritize learning over perfect planning