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FizaAslam1/README.md

Hi there, I'm Fiza Aslam 👋

Data Scientist · ML Engineer · Azure Cloud

LinkedIn Kaggle GitHub Email


About Me

🎓 Education BS Information Technology — Islamia University Bahawalpur (7th Semester)
💼 Experience AI Engineer Intern @ CodeCelix · Jan – Apr 2026
📍 Location Bahawalnagar, Pakistan 🇵🇰
🔍 Focus Areas
🤝 Open to Internships  ·  Collaborations  ·  Full-time roles

🚀 Featured Projects

Project Description Tech Live
EV Safety System AI predictive maintenance for EV chargers — 99% accuracy, 0 missed failures Python, Random Forest, Streamlit 🔗 Demo
📊 Customer Churn Prediction Telecom churn prediction with confidence scores & feature importance Scikit-learn, SMOTE, Streamlit 🔗 Demo
💰 PriceOptimizer AI Dynamic pricing engine with What-If simulator — R²=0.88, 80+ price points XGBoost, Plotly, Streamlit 🔗 Demo
🧠 Sentiment Analysis NLP sentiment classifier — transformer vs traditional ML benchmarking Hugging Face, Scikit-learn

🛠️ Tech Stack

ML / AI

Python Scikit-learn TensorFlow XGBoost HuggingFace

Data & Viz

Pandas NumPy Plotly Matplotlib

Cloud & Deployment

Azure Streamlit GitHub


📈 GitHub Stats

Fiza's GitHub Stats Top Languages


🏅 Certifications

  • 🐍 IBM Python for Data Science
  • 📊 Data Analytics — HP
  • ☁️ Microsoft Azure Fundamentals AZ-900 (In Progress)
  • 🤖 Google AI Essentials — Coursera (5 certificates)
  • 🔗 Career Skills in Data Analytics — LinkedIn Learning

"Turning data into intelligent solutions, one model at a time."

Profile Views

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  1. customer-churn-prediction customer-churn-prediction Public

    Telecom Customer Churn Prediction App

    Jupyter Notebook

  2. EV-Safety-system EV-Safety-system Public

    AI-Powered Predictive Maintenance for EV Chargers

    Jupyter Notebook 1

  3. price_optimizer price_optimizer Public

    AI-powered dynamic pricing engine — find the perfect price for maximum profit using XGBoost demand prediction.

    Jupyter Notebook