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M. A. Ali Data Science Portfolio

Resume | Linkedin | Kaggle | Behance

Data Science Projects

  • Last year of High school in Egypt educational Thanaweya Amma system is a detrimental for students aiming for the best of the best universities to attend. Since the score in this single year is the entry card to those universities. A Web-Application that suggest the best schools based on school average per disctrict and a complete analysis of subjects, will provide guidance in that case.

  • Skills: Web scraping, Asyncio, tableau, Streamlit, API, Data Analysis, Visualization

  • Credit default prediction is central to managing risk in a consumer lending business. Credit default prediction allows lenders to optimize lending decisions, which leads to a better customer experience and sound business economics. Current models exist to help manage risk. But is it possible to create better models that can outperform those currently in use, a study case was done to use previous data to improve current default prediction systems with risk managing in mind.

  • Skills: EDA, Financial Statistics, churn rate, Data Visualization, Decision Tree models, Feature Engineering, XGBoost

  • CT scan images help doctors and specialist determine the best course of action to take considering patient heath. Convolutional neural network that specalize in segmentation can help reduce the human error and aid doctors in their observation. Segmentation of jaws into upper and lower partition is put togather in this project using state of the art deep learning techniques.

  • Skills: Medical segmentation, U-net architecture, PyTorch, augmentation techniques, 3D Computer vision, deep learning

  • League of Legends is one of the world’s most popular video games, developed by Riot Games. It features a team-based competitive game mode based on strategy and outplaying opponents. Each team assigns their players to different position of battleground, Does a player position impact how many trophies they can claim?
  • Skills: web scrapping, data manipulation, data visualization, hypothesis testing, statistical analysis
  • Melanoma is a deadly disease, but if caught early, it can be cured with minor surgery. Image analysis tools that automate the diagnosis of melanoma will improve dermatologists' diagnostic accuracy. Better detection of melanoma has the opportunity to positively impact millions of people.
  • Skills: Computer Vision, AI in Healthcare, TensorFlow, Binary Classification, stratifiedkfold, efficientnet
  • NST was first introduced in 2015 paper it took advantage of how convolution neural network works, The system uses neural representations to separate and recombine content and style of arbitrary images. In simple words, it transfer the style from one image to another using the foundation of neural network loss optimization techniques.
  • Skills: Neural networks, optimization techniques, machine learning algorithms, image manipulation

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