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Fares403/README.md

Hi there! 👋 I'm Fares Ashraf

Welcome to my GitHub profile! I am a Data Analyst with a strong interest in Machine Learning and Data Science. My background in data analysis, along with my experience using tools like Python, SQL Server, Power BI, and more, has equipped me to tackle complex analytical challenges.

👨‍💻 About Me

  • 🔭 I’m currently working on building my portfolio with data analysis and machine learning projects.
  • 🌱 I’m currently learning advanced machine learning techniques and Deep Learning.
  • 👯 I’m looking to collaborate on data science and analysis projects.
  • 💬 Ask me about anything related to data analysis, statistics, or SQL.
  • 📫 How to reach me: Gmail
  • ⚡ Fun fact: I love exploring new datasets and uncovering hidden patterns!

🚀 Skills & Tools

  • Languages: Python, R, SQL
  • Data Visualization: Power BI, Matplotlib, Seaborn
  • Database Management: SQL Server, MySQL
  • Tools: Excel, Power Pivot, SSIS, SSAS
  • Machine Learning: Scikit-learn, TensorFlow

📝 Projects

Here are a few highlights of my projects:

  1. Movies Database Analysis: A comprehensive analysis of the movie industry using Python and SQL Server.
  2. Breast Cancer Classifier : Web App built using Dash (a Python web framework) and powered by a Logistic Regression model.
  3. BikeStores_Analysis : The BikeStores database encompasses various aspects of a typical retail environment

📈 GitHub Stats

Fares's GitHub Stats

📫 Connect with Me

Thanks for visiting my profile! Feel free to check out my projects and connect if you’d like to collaborate.

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  1. MoviesDB_Analaysis_with_Python_SQL MoviesDB_Analaysis_with_Python_SQL Public

    This repository contains a comprehensive analysis of a movie database, which includes various aspects such as film profitability, country-specific film statistics, and Oscar-winning films. The proj…

    Jupyter Notebook 1

  2. Breast-Cancer-Classifier Breast-Cancer-Classifier Public

    This project is a Breast Cancer Prediction Web App built using Dash (a Python web framework) and powered by a Logistic Regression model. The goal of the app is to allow users to input various featu…

    Jupyter Notebook

  3. Laptop-Price-Prediction-with-Many-Regression-Models Laptop-Price-Prediction-with-Many-Regression-Models Public

    This project focuses on predicting laptop prices based on various features such as brand, processor, RAM, storage, and other specifications. Using machine learning models, the goal is to develop a …

    Jupyter Notebook

  4. BikeStores_Analysis BikeStores_Analysis Public

    The BikeStores database encompasses various aspects of a typical retail environment

    TSQL

  5. Fares403 Fares403 Public

    Config files for my GitHub profile.

  6. MobilePhone_Price_Prediction MobilePhone_Price_Prediction Public

    Develop a robust classification model to accurately predict the price range of mobile phones using advanced data processing and machine learning techniques.

    Jupyter Notebook