Subscription Analytics and Churn Optimization Dashboard
Case StudyA comprehensive data analysis project focused on understanding consumer behavior and subscription health for a direct to consumer digital product.

is currently a Senior Analytics Engineer at Toptal. His foray into data started when he landed analytics roles and had a blast transforming raw data into problem-solving insights—improving attribution accuracy, building scalable Looker dashboards, and operationalizing metrics for C-level visibility.
Previously, he joined Coursera as a data analyst, created actionable insights that drove decision making, identified product opportunities, defined metrics for the degrees business, and analyzed performance of experiments for teams across the company.
He received a Bachelor of Science in Computer Science from COMSATS University Islamabad, and holds an MPhil in Computer Science from NUCES FAST, Islamabad.





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A comprehensive data analysis project focused on understanding consumer behavior and subscription health for a direct to consumer digital product.
AI-powered SaaS that automates professional ad campaigns for small businesses, delivering structured copy, creative prompts, and targeting strategies.
AI-powered recommendation engine for skincare ingredients and products tailored to each user's skin profile.
Web app that converts handwritten or printed prescriptions into clear, structured medication instructions using OCR and NLP.
AI-powered job search assistant that analyzes job descriptions, evaluates resume-job match, and creates tailored cover letters.
Improved Coursera's enrollment attribution accuracy from 56% to 78%.
Why subscription teams misread retention curves, how to pick a cohort anchor that matches the question, and how to move from charts to clear tradeoffs.
Why most attribution debates are really taxonomy debates—and how teams can get to trustworthy numbers without a science fair of overlapping models.
Practical patterns for short engagements—discovery, thin vertical slices, and artifacts that keep paying off after the project ends.
A practical lens on definitions, time zones, and slowly changing dimensions—so teams stop relitigating the same numbers every quarter.