👋 Hi there, I'm Isaac Ake
I’m passionate about leveraging data and cloud technologies to build scalable, efficient, and secure solutions. With a strong background in Data Science, Artificial Intelligence, and Cloud Engineering,
🔍 Research Focus
My academic work explores how predictive modeling intersects with regulatory frameworks, particularly within the context of responsible AI. I’ve developed machine learning models for price prediction, healthcare analytics, and cryptocurrency forecasting—while simultaneously addressing privacy and compliance challenges.
🗂 Data Analysis & Governance Portfolio
📊 House Price Prediction Using Ensemble ML Models
🧠 Diabetes Risk Analysis with ML and Visualization Tools
📈 Crypto Price Forecasting Using Time-Series Algorithms
🔐 Privacy Challenges in Data Governance (GDPR Case Study)
✅ Design and Implementation of GDPR-Aligned Governance Frameworks
🛠 Tech Stack
Python, R, SQL | Scikit-learn, TensorFlow, Keras | Tableau, Power BI | AWS, Azure, GCP | GDPR, Risk Assessment, Data Quality
📚 Publications
“Combining Machine Learning Models to Predict House Prices” – Solent University
“Privacy Challenges in Data Governance: A GDPR Case Study” – Internal Research Paper (2024)
💬 Let’s connect and collaborate on research, open-source data projects, or AI governance initiatives!
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