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Murtazammotor/README.md

Hi, I'm Murtaza πŸ‘‹

πŸŽ“ Data Science Grad "University of Houston" πŸ”­ Currently working on Multiple projects focussing ML, Cloud AWS, Dashboards, AI. 🌱 Learning: PyTorch, time-series modeling, deep learning systems πŸ“« Reach me: murtaza.motor5253@gmail.com β€’ https://www.linkedin.com/in/murtazamustafamotor/

πŸ› οΈ Tech Stack

Languages: Python, SQL, JavaScript ML/DL: PyTorch, scikit-learn, pandas, NumPy Viz: Plotly, Dash, Matplotlib Tools: Git, Docker, VS Code

πŸ“Œ Featured Projects

Vanilla Transformer for Human Activity Recognition on the WISDM dataset (51 subjects, 18 activities, 4 sensors). Achieves 73.8% val accuracy with sensor fusion. Interactive Plotly Dash dashboard included. PyTorch Transformer Dash HAR

🚚 Swift Movers β€” Final-Year Project

An on-demand cartage / logistics platform for Pakistan β€” connecting customers with local pickup-truck drivers in real time. Built as my final-year B.Sc. capstone under Dr. Hasnain Mansoor at SZABIST Karachi.

Three synchronized roles share one Firebase backend:

  • Customer β€” book instantly ("Jaldi Aao") or schedule, track driver live on the map, rate after delivery
  • Driver β€” accept jobs, broadcast GPS, manage scheduled bookings
  • Admin β€” manage users, drivers, and platform activity

Flutter Dart Firebase Firestore Google Maps API SendGrid Multi-role auth


πŸ“Š GitHub

Popular repositories Loading

  1. customer-review-intel customer-review-intel Public

    End-to-end ML platform for product review analysis β€” sentiment, topics, LLM Q&A, forecasting. Built on AWS.

    Jupyter Notebook

  2. wisdm-har wisdm-har Public

    Human Activity Recognition on the WISDM dataset using a vanilla Transformer (PyTorch) with an interactive Plotly Dash dashboard. 73.77% val accuracy with 4-sensor fusion.

    Python

  3. Murtazammotor Murtazammotor Public