🏥 Redesigning healthcare operations with ML and AI automation

Uthman Babatunde — Medical Doctor | Machine Learning | Automation Specialist

👋 About Me

💡 “The future of healthcare isn’t just about better treatment — it’s about intelligent systems that empower clinicians.”

I’m a medical doctor with a deep interest in Applied AI, machine learning, and intelligent automation. My clinical experience exposed me to how inefficient workflows and fragmented data can limit patient outcomes — so I now build systems that bridge that gap.

From developing predictive machine learning models for patient readmission risk to designing automated workflows that optimize communication and reporting, I combine medical insight with technical expertise in Python, scikit-learn, and no-code automation tools like n8n, Make, and Zapier.

My goal is to apply AI and data-driven design to create healthcare systems that learn, adapt, and work seamlessly, helping providers focus on what matters most — delivering better, faster, and safer care.

💼 Core Expertise

• Applied Machine Learning & AI:

  Predictive modeling | Random Forest | Logistic Regression | Model evaluation (Precision, Recall, ROC) | SHAP Explainability | Chatbots

• Data Science Tools:

  Python | scikit-learn | Pandas | NumPy | Matplotlib | Seaborn | Google Colab

• Automation Platforms:

  n8n | Make | Zapier

• Data Systems:

  Airtable | Notion | Google Sheets | API Integration

• Healthcare Applications:

  • Predictive dashboards and decision support
  • Clinical shift communication flows
  • Automated billing and scheduling
  • Chatbots

🌟 Why Work With Me

✅ Deep understanding of healthcare workflows

✅ Secure, HIPAA-conscious automation designs

✅ Patient-centered approach to system building

✅ Experience building end-to-end data pipelines