MSc Data Science | AI in Healthcare | Research Enthusiast | Tech for Good Advocate

I'm a passionate Data Scientist with a computer science background, working at the intersection of technology, data, and impact. I enjoy solving real-world problems using Python — especially in healthcare, business, and research settings. I'm always exploring new ways to apply data science for good.

• 🌱 Currently learning and exploring
• 👯 Looking forward to collaborate with like-minds

• Languages: Python, Java, Julia, SQL
• Libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn
• Tools: Jupyter, Power BI, SPSS, Zotero, Git, Azure, VS Code, Google Colab
• Skills: EDA, Machine Learning, Deep Learning, Signal Processing, Data Visualization

• 🧠 Brain Tumor Detection using CNN
  Built a convolutional neural network for classifying brain MRI scans to detect tumors.

• 💊 NHS StepUp Challenge C
  Analyzed patterns in antidepressant prescription data using Python, Pandas, Matplotlib, and Seaborn.

• 🔐 Medical Data Anonymization Tool
  Developed a Java-based application using regex to anonymize sensitive patient data, deployed on Azure.

• ⚡ Modular Exponentiation Optimization
  Implemented and optimized modular exponentiation in Julia for high-performance computing applications.

Born and raised in Nigeria 🇳🇬, currently based in the UK 🇬🇧 — I'm passionate about global health innovation, especially using data-driven technologies to support underserved communities.