Hi there! I'm Hassan Anees Elzeny, a passionate AI enthusiast and Computer & Artificial Intelligence student at Helwan University in Cairo (Expected Graduation: 2025). I thrive on solving complex problems and love exploring new technologies to make a meaningful impact through AI.

• 🔭 Currently working on innovative AI projects.
• 🌱 Continuously enhancing my skills in Machine Learning, Data Science, and Software Development.
• 💡 I have experience developing applications using Streamlit and Flask, and implementing deep learning architectures such as GRU, ANN, CNN, RNN, and R-CNN.
• 🎓 Since July 2024, I'm enrolled in an advanced course covering cutting-edge AI techniques.
• 📫 Reach me at: hassananees188@gmail.com

• AI Engineering & Data Science: Building AI models, training machine learning algorithms, and preparing clean, insightful datasets.
• Programming: Developing applications and automating tasks using Python, C++, Java, and web technologies.
• Data Analysis & Visualization: Crafting interactive visualizations with Pandas, Matplotlib, Seaborn, and Plotly.
• Virtual Assistance & Content Creation: Managing YouTube and TikTok channels along with providing administrative support.

• Netflix Trends Analysis: Data visualization & analysis using NumPy, Pandas, Seaborn & Plotly.
• Heart Failure Prediction: AI model built with TensorFlow, Keras, and PyTorch.
• Traffic Sign Detection: Object detection project using Detectron2.
• Market Scraper: Web scraping tool using Scrapy & BeautifulSoup.
• Employee Attrition Analysis: Machine learning model analyzing factors affecting employee retention.

More projects coming soon – stay tuned!

• AI Career Essentials - ALX (May 2024)
• Data Science & Analytics - HP (September 2024)
• Virtual Assistant Training - ALX (Ongoing)
• SKY Distribution Training Program (October 2024)
• AI & Data Science Track - Digital Egypt Pioneers Initiative (DEPI) (Oct 2024 - May 2025)
• Huawei HICA - Cloud Computing & AI (January - February 2025)
  

• AI & Deep Learning:

  • Learned from Fast.ai and Coursera's Deep Learning Specialization.
  • Tools used: TensorFlow, PyTorch, Keras, GRU, CNN, RNN, R-CNN.

• Data Science & Machine Learning:

  • Studied on Kaggle, DataCamp, and Udacity.
  • Tools used: NumPy, Pandas, scikit-learn, XGBoost, LightGBM.

• Web Scraping & Data Visualization:

  • Learned from Real Python, Scrapy Documentation, and BeautifulSoup Documentation.
  • Tools used: Scrapy, BeautifulSoup, Plotly, Matplotlib, Seaborn.

• Web Development:

  • Tutorials from MDN Web Docs, freeCodeCamp.
  • Tools used: HTML5, CSS3, JavaScript, PHP.

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Made with ❤️ and lots of ☕ by Hassan Anees Elzeny