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omarTBakr/README.md

Hi there! I'm Omar.

Portfolio Resume LinkedIn

🚀 About Me

  • Machine Learning Engineer with a focus on Computer Vision and Deep Learning 👁️🧠
  • Solid foundation in Python 🐍 , C/C++ and SQL.
  • Passionate about Linear Algebra, Probability & Statistics – always learning! 🤓📚📐📊📈
  • I enjoy building algorithms from scratch to understand their core — check out my ML Deep Dive.
  • 🌐 Visit my portfolio: omartbakr.github.io

🛠️ Skills

Python C++ SQL MATLAB Linux Fedora

Databases & Tools:

PostgreSQL pgAdmin Docker Git VS Code PyCharm

ML/DL Stack:

NumPy Pandas Matplotlib Seaborn Scikit-learn PyTorch TensorFlow OpenCV XGBoost | LightGBM

Mathematical Foundations:

Discrete Math Linear Algebra Multivariable Calculus Probability Statistics Algorithms Optimization

🏆 Projects

  • Volleyball Group Activity Recognition 🏐 (In Progress)

    • Reproducing the CVPR 2016 hierarchical group-activity recognition pipeline on the Volleyball Dataset (55 videos, 4,830 clips, 8 group activities) across 8 progressively complex baselines.
    • Tech: PyTorch, ResNet-50, LSTM, Hydra, TensorBoard, LMDB, Multi-GPU training.

  • Credit Card Fraud Detection 💳

    • Tackled extreme class imbalance (< 0.2% fraud rate) by benchmarking 11 ML models, including a custom Focal Loss implemented in PyTorch from mathematical foundations.
    • Tech: PyTorch, XGBoost, LightGBM, CatBoost, Scikit-learn.

  • New York Taxi Trip Duration 🚕

    • Comprehensive feature engineering project to predict taxi trip durations.
    • Tech: Python, Pandas, Scikit-learn, OSRM, Docker, Folium.

  • Tech Job Market Analysis 📊

    • SQL analysis of 700,000+ job postings exploring market trends for tech roles across countries.
    • Tech: PostgreSQL, pgAdmin, Python.

📊 Problem Solving

  • LeetCode: 509+ problems solved (278 Medium · 24 Hard)

    Leetcode Stats

  • Codeforces: Actively solving problems, with 82 solved here

Pinned Loading

  1. Volleyball-Group-Activity-Recognition Volleyball-Group-Activity-Recognition Public

    ▎ PyTorch implementation of group activity recognition on the CVPR 2016 volleyball dataset — 8 baselines from single-frame CNNs to hierarchical LSTMs, with a unified data loader, Hydra configs, and…

    Jupyter Notebook 1

  2. ML-Projects ML-Projects Public

    Jupyter Notebook

  3. Tech-job-market-analysis-using-PostgreSQL Tech-job-market-analysis-using-PostgreSQL Public

    A comprehensive tech job market analysis using PostgreSQL and Python, examining 700,000+ job postings across multiple countries and platforms. Revealing key insights from the data

    Python

  4. ML-Deep-Dive ML-Deep-Dive Public

    implementing essential Machine learning algorithms from scratch

    Jupyter Notebook 3

  5. Variational-Autoencoder-VAE- Variational-Autoencoder-VAE- Public

    In depth explanation and Implementation of VAE

    Python 1