Skills
Grouped by where they fit in the workflow. Everything here is something I've used in production, not a certificate on a shelf.
Analysis & experimentation
Product Analytics & Insights
Segmenting, cohorting, and building frameworks that answer "why"
Root Cause Analysis
Breaking an aggregate into the segments doing most of the damage
Experiment Design & Rollout
Hypothesis → measurement → monitoring → staged rollout
A/B Testing
Enforcing splits, watching for SRM, not peeking
Problem Solving & Critical Thinking
Being comfortable with ambiguous questions before they resolve
Tools & technologies
SQL
The core. All of my analysis starts here
Google BigQuery
Warehouse for claims and product event data
Looker
Modeled dashboards for ops and product teams
Metabase
Self-serve querying for the wider team
Mixpanel
Product event analytics and funnels
Google Analytics
Traffic and acquisition analysis
Firebase
Mobile event tracking
Python · Pandas
Ad-hoc analysis and data manipulation
Product & leadership
Product Design
Framing decisions and shaping what gets built
Product Planning
Turning ambiguous goals into a sequence that ships
Stakeholder Management
Working with ops, product, and engineering to align on what matters
Also
Web Development
Enough to build things, not enough to call myself an engineer
Sketching
Old habit. Keeps the eye honest
Video Editing
Occasional, mostly for personal projects
C · C++
From IIT coursework. Not part of my daily work