Stanley Uzum uzumstanley

MOTTO

Building systems that learn from data and improve the world.

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.

💻 Key Technologies

🧑‍💻 Programming Languages

🎨 Frontend Development

🔨 Backend Development

🔧 Databases

🔒️ DevOps

📝 Version Control System

🧠 Expertise

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

📌 Featured Projects

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

Languages and Tools:

📫 Let's Connect

📍 London, United Kingdom
💼 Actively seeking impactful ML/MLOps/DS roles

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