Mohammed Shafeeulla - Data Science & ML Portfolio

Welcome to my data science and machine learning portfolio! This repository showcases my expertise in predictive modeling, computer vision, and data analysis.

🎯 Core Competencies

• Machine Learning & Deep Learning
• Computer Vision & Object Detection
• Predictive Modeling & Time Series Forecasting
• Data Analysis & Visualization
• ETL & Data Preprocessing
• Natural Language Processing

📊 Featured Projects

Computer Vision & Object Detection

1. Vehicle Counting using YOLO

   • Real-time vehicle detection and counting system
   • Technologies: YOLO, OpenCV, Python
   • Impact: Processes live video feeds with real-time analytics

2. CNN Digit Recognition

   • MNIST digit classification with deep learning
   • Technologies: PyTorch, Streamlit, CNN
   • Performance: 99% accuracy

Predictive Modeling

3. Taxi Fare Prediction

   • Neural network-based fare estimation
   • Technologies: PyTorch, Feature Engineering, Python
   • Performance: RMSE of 3.4

4. Customer Churn Prediction

   • Classification model for customer retention
   • Technologies: Logistic Regression, SVM, Scikit-learn
   • Performance: 87% accuracy

Data Analytics & Visualization

5. Sales & Customer Dashboard
   • Interactive business intelligence dashboard
   • Technologies: Python, Tableau, Pandas

🛠️ Technical Stack

• Languages: Python, SQL
• ML Frameworks: PyTorch, TensorFlow, Scikit-learn
• Data Processing: Pandas, NumPy, Matplotlib, Seaborn
• Visualization: Tableau, Streamlit, Plotly
• Cloud: AWS, Databricks
• Tools: Jupyter Notebook, Git, VS Code

🎓 Education

• B.Tech in Computer Science Engineering
• GPA: 8.95/10

📬 Contact

• Email: mshafeulla@gmail.com
• LinkedIn: https://www.linkedin.com/in/mohammed-shafeeulla/
• GitHub: https://github.com/Mdshafeeulla

Feel free to reach out for collaborations or opportunities!