✨ Creating bugs since… well, day one
📚 Currently studying MSc Data Science in Germany 🇩🇪 — exploring ML, NLP, DL & AI
🎯 Goal: Become a Data Scientist who builds real intelligence, not just models
😄 Fun fact: I debug faster when coffee is involved
Muhammad Usman Khan · Data Scientist & Data Analyst based in Berlin · 🌐 Portfolio: data-meta.github.io
I have about 9 years of analytics experience across Pakistan, the UK and Germany, and I'm now focused on data science and machine learning. I build end-to-end solutions: data pipelines with SQL and PySpark, business intelligence dashboards in Power BI and Tableau, and ML and LLM applications, from churn and price prediction to a production-style agentic RAG system.
Currently completing an MSc in Data Science at Arden University Berlin, with an MBA (Distinction) from Edinburgh Napier University.
| Project | What it shows |
|---|---|
| Enterprise-Grade Agentic RAG App | FastAPI, Qdrant, LangGraph, guardrails, Langfuse tracing, DeepEval; deployed on Cloud Run |
| India Domestic Flight Price Prediction | 300K flights, hypothesis testing, Random Forest R² 0.978 |
| Netflix Customer Churn Prediction | Diagnosing a flawed model, then XGBoost with baselines, CV and threshold tuning |
| CNN MNIST Classification | Modular deep learning pipeline, ~99% test accuracy |
| PwC Power BI Job Simulation | Telco churn and Diversity & Inclusion Power BI dashboards |
| KPMG Data Analytics Virtual Internship | Data quality, RFM customer segmentation, Power BI dashboard |
| PySpark Cloud Pipeline | Big data analytics and ML with PySpark |
| Retail Profitability Dashboard | Interactive dashboard and 12+ visualisations |
👉 See them all with screenshots on my portfolio.
- Advanced machine learning
- End-to-end ML workflows
- Data visualization techniques
- Pandas and EDA through the Codanics mentorship program
Thank you for visiting my profile. Feel free to explore my repositories and follow my progress in data science.
