Hi there! I’m Stanley Ekene Uzum — a passionate Data Scientist and ML/MLOps Engineer based in London. I thrive at the intersection of machine learning, data engineering, and intelligent systems. With a strong focus on real-world impact, I’ve built end-to-end solutions for traffic prediction, global energy analysis, and AI applications.Building systems that learn from data and improve the world.
- Machine Learning & AI – Classification, Regression, Forecasting, Transformers, RAG
- MLOps & Deployment – Streamlit, FastAPI, Docker, Vertex AI, GCP
- Data Engineering – ETL Pipelines, BigQuery, Google Looker, Airflow
- Cloud Platforms – Google Cloud Platform (GCP), AWS (basic)
- Tools & Languages – Python, Jupyter Notebook, SQL, Git, Pandas, Scikit-learn
| Project | Description | Tech |
|---|---|---|
| 🚦 Traffic Forecasting for Road Networks | MSc project using smart routing for London roads | Python, Deep Learning |
| ⚽ Football Match Data Engineering | Leveraged Google Looker & GCP for analytics | GCP, Looker, BigQuery |
| 💼 Financial Analyst App | Data-driven insights for BigTech | Python, Pandas |
| 🪄 AI with Gemini | Built an AI Assistant powered by Gemini | Jupyter, Gemini API |
| 🌍 Global Power Plant Analysis | Full-stack data visualisation & exploration | Jupyter, Matplotlib |
| 🧠 RAG System | Retrieval-Augmented Generation using DeepSeek | Python, LangChain |
📍 London, United Kingdom
💼 Actively seeking impactful ML/MLOps/DS roles
