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nabeelmohd-dev/README.md

Hi, I'm Nabeel 👋

MSc Data Science & Statistical Learning · University of Limerick

Turning messy, real-world data into decisions across health, finance, education, and public transport.

LinkedIn Email Open to Work

🎓 Background

I'm a recent Data Science MSc graduate focused on the full pipeline: distributed data processing, statistical modeling, and communicating findings clearly. My thesis modeled long-term disability progression in Multiple Sclerosis (AUC 0.957), and my project work spans big-data engineering (an 89M+ row Spark pipeline), lending risk analysis, and demand forecasting.

📄 Published Research  ·  🔬 Patent Applicant  ·  🏆 1st Place, SRM University 48-Hour Hackathon

🛠️ Toolbox

Languages

Python R SQL

Big Data & ML

Apache Spark scikit-learn TensorFlow Pandas

Tools

Jupyter Streamlit Git

📌 Featured work

My pinned repositories below cover the core of my data science work: Spark big-data pipelines, risk modeling, forecasting, and my MSc thesis.

📂 More projects

Project What it does
Credit Card Default Risk Analysis Predicting customer default on imbalanced financial data
Rice Leaf Disease Classification Transfer learning (MobileNet), 93.3% validation accuracy
Poaching Detection (YOLOv8) Real-time wildlife detection and anti-poaching alerts
Holistic Motion Capture Engine Real-time pose, face, and hand tracking. 🏆 hackathon winner
PhishShield AI Character-level LSTM phishing URL classifier
Thanks for stopping by. Feel free to reach out on LinkedIn or by email above.

Pinned Loading

  1. MS-Disability-Progression MS-Disability-Progression Public

    Predicting long-term disability progression in Multiple Sclerosis using longitudinal registry data, machine learning classifiers, and missing data imputation in R.

    R

  2. Ednet-dropout-prediction Ednet-dropout-prediction Public

    Predicting student dropout risk from 89M+ EdNet-KT3 interaction logs using a Spark + scikit-learn pipeline: feature engineering, 6 classifiers, and K-Means validation.

    Python

  3. P2P-Lending-Risk-Analysis P2P-Lending-Risk-Analysis Public

    Peer-to-peer lending risk analysis, validating the platform's own A-G risk grading against real charge-off rates and building a leakage-free default classifier using only origination-time loan data.

    Python

  4. Dublin-Bikes-Analysis-Forecasting Dublin-Bikes-Analysis-Forecasting Public

    Exploratory analysis and Random Forest forecasting of Dublin Bikes station availability using four months of historical data in R, 92% R-squared on next-hour predictions.

    R

  5. Heart-Disease-SVM-vs-RandomForest Heart-Disease-SVM-vs-RandomForest Public

    Clinical risk prediction comparing SVM (radial kernel) and Random Forest for heart disease detection, evaluated on sensitivity and AUC-ROC rather than raw accuracy.

    R

  6. Human-Diseasome-Community-Detection Human-Diseasome-Community-Detection Public

    Network analysis of the human diseasome: disease-gene bipartite projection and a five-algorithm community detection comparison (Louvain, Walktrap, Fast Greedy, Label Propagation, Infomap) in R.

    R