Portfolio — MSc Computer Science, Final Year
Turning heartbeats into explainable risk scores.
I'm Zaid — a final-year MSc Computer Science student who builds interpretable machine learning for healthcare. My flagship project predicts heart attack risk and explains every single prediction in plain terms, using SHAP.
Profile
From cardiology datasets to explainable predictions.
I'm completing my MSc in Computer Science, where my major project has been designing a full pipeline for heart attack risk prediction — from raw clinical data to a deployed, explainable dashboard that a non-technical user could actually read and trust. I care about the part of machine learning that most projects skip: making a model's reasoning visible, not just its accuracy score. My research on this was published in the Kalashodh Multidisciplinary Book, 2026, and I'm now writing a public article series translating it for a wider audience.
- Based in
- Shamli, Uttar Pradesh, India
- Education
- MSc Computer Science (Final Year), Maa Shakumbhari University
- Focus
- Explainable AI & healthcare risk prediction
- Open to
- Data Scientist · ML Engineer · Data Analyst roles
Featured Work
Heart Attack Risk Prediction, end to end
A complete ML system that estimates a patient's heart attack risk and explains why. It compares four models, picks the strongest performer, and layers SHAP on top so every prediction comes with a feature-by-feature breakdown — deployed as a live, interactive dashboard with downloadable PDF reports.
How it explains itself
Example SHAP breakdown for a sample patient — each bar shows how much a feature pushed the prediction toward higher or lower risk.
Stack
Tools I reach for
Languages & Data
- Python
- pandas / NumPy
- SQL
Modeling & Explainability
- scikit-learn
- SHAP
- ROC-AUC · Confusion Matrix
Deployment & Tools
- Streamlit
- Matplotlib / Seaborn
- Git / GitHub
Publications & Writing
Research, published and in progress
Kalashodh Multidisciplinary Book
Published research paper on explainable machine learning for heart attack risk prediction.
LinkedIn Article Series
A 3-part series translating the research paper into public-facing writing — Article 1 is live, with two more following.
Get in Touch
Let's talk about your team's next model.
Open to Data Scientist, ML Engineer, and Data Analyst roles. Based in Uttar Pradesh, India — happy to work remote or relocate.
- Emailsiddzaid156@gmail.com
- LinkedInlinkedin.com/in/zaid-siddiqui-9564872bb
- GitHubgithub.com/siddzaid156
- LocationShamli, Uttar Pradesh, India