Mohammad Zafar I.

Startups usually have the data. What they’re missing is someone who turns it into decisions: why users churn, where revenue leaks, what next month looks like. That’s what I do. I lead Performance & Insights at a ride-hailing fleet operator in Mexico City with ~1,700 drivers, where I run BI, analytics and operational finance. Before that, I built fraud and default models for a lending fintech and analytics for agribusiness clients. The job has always been the same: find the metric that drives the business, build the tool that tracks it, and get it in front of the people who decide. What I can build for you - Power BI dashboards and semantic models: executive reporting, KPI frameworks, Microsoft Fabric, refresh optimization - Forecasting and predictive models: demand forecasting, default/fraud prediction, churn risk (Python, XGBoost, CatBoost, NeuralProphet) - Retention and churn analysis: cohort dashboards, churn drivers, incentive design - Python + SQL automation: ETL pipelines, automated reporting, replacing manual spreadsheet workflows - Unit economics and P&L model reviews: catching errors before they reach your board Recent results - Built a fraud/default prediction model (XGBoost) for a lending fintech that cut the default rate by 15% and added ~$200K in annual revenue - Designed a retention program and cohort dashboard tied to a 20% churn rate target - Analytics work that contributed to a 23% topline revenue increase - Cut unnecessary inventory by 60% for an agribusiness client using data mining - Audited a unit-level P&L model and found 27 issues, including misclassified costs that were inflating gross profit How I work I start with the decision you need to make, not the chart. You get a short written summary (conclusion, supporting data, decision needed), clean documented code, and a handover so your team isn’t dependent on me. I’ve also co-founded a B2B SaaS company, so I know what it’s like to need answers fast with a small team. Tell me what you’re trying to figure out. I’ll tell you honestly whether I’m the right fit.