Featured Projects
“Without data, you’re just another person with an opinion.” – W. Edwards Deming.
Maternal Health Risk Prediction
End-to-end maternal health risk classification with a FastAPI scoring endpoint, SHAP explainability, Docker containerisation, and CI/CD pipeline integration.
Tech: Python, FastAPI, SHAP, Docker, CI/CD, etc.
Patient Health Records EDA
Full EDA pipeline on a synthetic healthcare dataset using Python and pandas. Cleaned, analysed, and visualised the data to uncover key patterns across diagnosis, age, and treatment.
Tech: Python, Pandas, Matplotlib, Seaborn
Fetal Health ML Analysis
Machine learning-based fetal health classification using cardiotocography data. Compares multiple algorithms (XGBoost, Random Forest, MLP, Logistic Regression) for predicting fetal health status with 95.9% accuracy.
Tech: Python, Scikit-learn, Pandas, etc.
CardioPredict Deep Learning SHAP
A comprehensive machine learning pipeline for cardiovascular disease prediction using deep neural networks with explainable AI capabilities.
Tech: TensorFlow, Scikit-learn, SHAP, etc.
AI Insights Assistant
An AI-powered customer churn analytics dashboard with natural language querying built with Streamlit, Plotly, and HuggingFace LLMs.
Tech: Python, Plotly, Pandas, Streamlit, HuggingFace, etc.
Telecom Customer Churn Analytics
Analysing telecom customer churn using Python, SQL, and Power BI. Interactive dashboard and charts showcase insights to reduce churn.
Tech: Python, SQL, Power BI, Data Visualisation, etc.