RevvIQ
Case StudyLegal intelligence platform that scrapes, wrangles, and matches claim and court data across NYOSC, Westlaw, and eCourts — with an AI agent that turns natural-language questions into SQL.
Muhammad Shahid Sharif: Senior Analytics Engineer and data analyst — SQL, Looker, subscription analytics, attribution, and dashboards.
Who is Muhammad Shahid Sharif?
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.
Worked with
.png)
Recent projects
Everest Dental & Aesthetics Lounge
Case StudyEnd-to-end EMR and practice management system for a premium dental and aesthetics clinic — patients, doctors, invoicing, cash flow, and a public booking site at everestdental.pk.
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.
The Marketing Department
Case StudyAI-powered SaaS that automates professional ad campaigns for small businesses, delivering structured copy, creative prompts, and targeting strategies.
SkinCare AI
Case StudyAI-powered recommendation engine for skincare ingredients and products tailored to each user's skin profile.
PrescriptionAnalyzer
Case StudyWeb app that converts handwritten or printed prescriptions into clear, structured medication instructions using OCR and NLP.
Recent Blog Posts
Retention and cohorts: choosing the grain that matches the decision
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.
Multi-touch attribution: get definitions aligned before you chase the algorithm
Why most attribution debates are really taxonomy debates—and how teams can get to trustworthy numbers without a science fair of overlapping models.
Joining a team as an external analyst: scope, speed, and trust
Practical patterns for short engagements—discovery, thin vertical slices, and artifacts that keep paying off after the project ends.
Metric design: grain, naming, and why two dashboards show “different” revenue
A practical lens on definitions, time zones, and slowly changing dimensions—so teams stop relitigating the same numbers every quarter.