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Khanz9664/README.md

Hi, I'm Shahid Ul Islam 👋

Data Scientist & ML Engineer · Building tools that make models trustworthy, not just accurate.

"In God we trust, all others must bring data." — W. Edwards Deming

What I'm Building

TrustLens — ML Reliability Framework

Most teams stop at accuracy. TrustLens goes further — evaluating reliability, calibration, fairness, failure modes, and explainability in a single workflow.

from trustlens import analyze

report = analyze(model, X_val, y_val, y_prob=proba)

Read the full writeup →

Mathematical Foundations of ML

Deep dives into the math behind modern ML — intuition-first, with full derivations.
Topics: optimization, probability theory, statistical learning, and more.

Read the articles →

GitHub Streak
Contribution Graph

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  1. TrustLens TrustLens Public

    Open-source Python library for evaluating ML model reliability beyond accuracy — with calibration, failure, and fairness diagnostics for informed deployment decisions.

    Python 12 13

  2. Transfer-Learning-for-Respiratory-Disease-Classification Transfer-Learning-for-Respiratory-Disease-Classification Public

    Transfer learning is a powerful enabler for medical imaging AI. By reusing knowledge from general images, we circumvent one of medicine’s biggest bottlenecks – limited annotated data.

    Python 2 1

  3. CardioSense-AI CardioSense-AI Public

    CardioSense AI — Where clinical trust meets high-performance ML. An explainable CDSS with automated risk roadmaps, AHA/ACC-aligned safety guardrails, and production-ready CI/CD pipelines.

    HTML 2

  4. Breast-Cancer-Prediction Breast-Cancer-Prediction Public

    Breast cancer is one of the most common cancers in women worldwide. Early detection and accurate diagnosis are crucial for effective treatment and improved survival rates. This project utilizes mac…

    Jupyter Notebook 1 1

  5. Python-For-DataScience Python-For-DataScience Public

    This repository offers a collection of Jupyter notebooks that chronicle my journey in learning Python for Data Science. The notebooks cover a range of topics, from basic programming concepts to adv…

    Jupyter Notebook 1

  6. C-Programming-Practice C-Programming-Practice Public

    Comprehensive solution to a variety of C language programs, including Functions & Pointers, Pattern Printing, Recursion, Arrays.

    C 1 1