Energy Data Analyst, Data Scientist and Web Developer.
I build statistically rigorous analysis, production-shaped ML pipelines, and full-stack data products, with a research background spanning peer-reviewed publications and international conference presentations. I also design and ship client websites as a freelance web developer.
themuhammadasad.github.io → is my full portfolio: 13+ data/ML projects, 7+ websites, experience, publications, and certifications.
| Project | What it does |
|---|---|
| Energy Intelligence Platform | Full-stack app over 25 years of European electricity-mix data, built with FastAPI + PostgreSQL, Next.js/TypeScript, Docker Compose, and CI |
| Credit Card Fraud Detection | Real transaction data under 0.17% class imbalance; cost-based threshold optimizer, live Streamlit dashboard |
| A/B Testing: Mobile Game Retention | SRM check, two-proportion z-tests cross-validated against bootstrap resampling, a peeking-problem simulation |
| Image Classification: CNN vs. Transfer Learning | CNN from scratch vs. MobileNetV2, augmentation ablation, Grad-CAM analysis |
| Oil Production Decline Curve Analysis | Classical petroleum-engineering Arps decline models on 60 years of real production data |
Data & Visualization Python (pandas, NumPy, scikit-learn) · R · SQL · Power BI · Streamlit · Plotly · Tableau ML & Statistics XGBoost · TensorFlow/Keras · SHAP · hypothesis testing · predictive modelling Web Development React · Next.js · TypeScript · FastAPI Tools & Platforms Docker · Kubernetes · PostgreSQL · Git