Hello, I'm

Saqib Shoaib

Data Science Student & AI Enthusiast

Data Science undergraduate with proven expertise in AI, machine learning, and data engineering. Experienced in building scalable projects like palm payment systems and predictive models, with strong skills in Python, SQL, and advanced analytics.

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Work Experience

IT Intern

Pakistan International Airlines (PIA)

June 2023 – August 2023
  • ▹ Participated in requirements gathering sessions and implemented real-time data integration solutions for internal operations
  • ▹ Contributed to cross-functional projects involving database optimization and user interface enhancement

Department Incharge

Eon Pharmacy

January 2021 – March 2022
  • ▹ Supervised daily operations of pharmacy department, ensuring efficient workflow management and comprehensive inventory control
  • ▹ Maintained accurate stock levels and monitored medicine expiry dates and reorder points to prevent stockout

Administrative Assistant

HN Foods Limited

June 2019 – December 2020
  • ▹ Managed comprehensive inventory records and performed accurate data entry to maintain stock databases
  • ▹ Ensured timely system updates, reducing stock discrepancies by 15% and minimizing operational delays

Featured Projects

🤚

Palm Payment System

Jan 2025 – Expected December 2025

Developed a cashless biometric payment system using palm recognition. Built with Electron.js frontend, Python API (YOLO + PyTorch), and Firebase. Integrated with Raspberry Pi for palm capture and AES encryption for security.

Python YOLO PyTorch Firebase Raspberry Pi
📊

TempDataset

Jun 2025 – July 2025

Developed an open-source, lightweight Python library for generating 40+ realistic dataset types including business, finance, IoT, healthcare, and social media data.

Python Open Source Data Generation
🔢

Digit Classifier

Oct 2024 – December 2024

Achieved 99% accuracy on handwritten digits (MNIST) using Convolutional Neural Networks. Implemented advanced deep learning techniques for image classification.

CNN Deep Learning MNIST
♻️

Garbage Classifier

Mar 2022 – November 2022

Built CNN model with 91% accuracy using MobileNetV2 for waste sorting. Implemented transfer learning for efficient waste classification.

MobileNetV2 Transfer Learning Computer Vision

Skills & Technologies

Programming & Tools

Python SQL MySQL Power BI Excel

Machine Learning

PyTorch TensorFlow Scikit-learn OpenCV Deep Learning NLP

Data & Analytics

Data Mining Feature Engineering Matplotlib Seaborn Time Series

Let's Connect

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.

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📍 Karachi, Pakistan