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jawad2005-mj/README.md

Muhammad Jawad

Machine Learning Engineer & Data Scientist

LinkedIn Kaggle GitHub Email


About Me

I'm a Machine Learning Engineer & Data Scientist currently working at IntelliXsoft, Bahawalpur, building and deploying end-to-end predictive ML pipelines across healthcare, finance, and marketing domains.

  • 🏢 ML Developer at IntelliXsoft (Jun 2025 – Present)
  • 🎓 B.Sc. Software Engineering — Islamia University of Bahawalpur (2023–2027)
  • 🧠 Skilled in supervised & unsupervised learning, real-time model deployment, imbalanced datasets (SMOTE), and production-grade ML systems
  • 🌍 Bahawalpur, Pakistan

What I'm Up To

  • 🔭 Currently working on CardioGuard AI and Parkinson's Disease Detection System
  • 🌱 Currently learning Deep Learning and LLMs / RAG pipelines
  • 👯 Open to collaborate on ML/AI open-source projects
  • 💬 Ask me about Python, Scikit-Learn, FastAPI, ML deployment

Tech Stack

Languages

Python SQL

ML / AI

Scikit-learn TensorFlow Pandas NumPy Matplotlib Seaborn

Deployment & APIs

FastAPI Streamlit REST API

Tools

Jupyter Google Colab Git VS Code Kaggle


Featured Projects

Project Domain Key Tech
💳 Credit Card Fraud Detection Finance Random Forest, SMOTE, FastAPI, CustomTkinter
🧩 Customer Segmentation & Analytics Marketing K-Means, Decision Tree, FastAPI, Tkinter
❤️ CardioGuard AI — Heart Disease Prediction Healthcare Decision Tree, StandardScaler, CustomTkinter
🧬 Parkinson's Disease Detection Healthcare SVM, GridSearchCV, 22 Biomedical Vocal Metrics
📊 Student CGPA Calculator Education Python, Streamlit
🏪 Stock & Billing System Business Python, OOP, Streamlit

💡 CardioGuard AI and Parkinson's Detection repos coming soon — currently in final deployment phase.


Professional Experience

Python & Machine Learning Developer — IntelliXsoft Jun 2025 – Present | Bahawalpur, Pakistan | Full-time

  • Engineered end-to-end Credit Card Fraud Detection using Random Forest + SMOTE on highly imbalanced financial data
  • Built AI-driven Customer Segmentation pipeline using K-Means Clustering and Decision Trees for marketing optimization
  • Deployed ML models to production via FastAPI with secure RESTful endpoints for real-time external integration
  • Built enterprise GUI dashboards using CustomTkinter and Matplotlib for non-technical stakeholders

Education

Degree Institution Period Grade
🎓 B.Sc. Software Engineering Islamia University of Bahawalpur 2023 – 2027 A
📘 Intermediate – Pre-Medical Zakariya Science College 2021 – 2023 A
📗 Matriculation – Science Zakariya Science College 2019 – 2021 A+ (Distinction)

Certifications

  • 📜 Intermediate Python for Developers — DataCamp | Oct 2025 | #43,826,371
  • 📜 Introduction to Programming Using Python — DataCamp | Oct 2025 | #40,046,594
  • 📜 Python Streamlit Certification — Streamlit | 2025

GitHub Stats

GitHub Trophies


Muhammad Jawad's GitHub Stats

Top Languages

GitHub Streak


Jawad's Activity Graph


Languages

  • 🇬🇧 English — Professional Proficiency
  • 🇵🇰 Urdu — Native

Let's Connect!

📩 jawad48332@gmail.com  |  📍 Bahawalpur, Pakistan

"Building AI that makes a difference — one model at a time."

Profile views

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  1. Credit-Card-Fraud-Detection-ML Credit-Card-Fraud-Detection-ML Public

    End-to-end Machine Learning system for real-time credit card fraud detection. Includes a predictive model, FastAPI backend, and an interactive dashboard.

    Jupyter Notebook

  2. Customer-Segmentation-KMeans-API Customer-Segmentation-KMeans-API Public

    An end-to-end machine learning system for customer segmentation using K-Means clustering, featuring a FastAPI backend and an interactive dashboard.

    Jupyter Notebook

  3. Heart-Disease-Prediction-System Heart-Disease-Prediction-System Public

    Enterprise-grade Machine Learning application for cardiovascular risk assessment using clinical data.

    Jupyter Notebook

  4. Parkinsons-Disease-Detection-ML Parkinsons-Disease-Detection-ML Public

    End-to-End Machine Learning system with a Premium CustomTkinter GUI for Parkinson's Disease screening.

    Jupyter Notebook