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@DataScienceAndEngineering

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omartgabr/README.md

Welcome to my GitHub profile!

My name is Omar Gabr and I am a graduate student studying data science and engineering. This profile showcases my journey exploring the practical applications of machine learning algorithms and data engineering practices through inspired projects and datasets.

As a student with a deep interest in machine learning, I aspire to build a career in data science. Additionally, I am open to the possibility of engaging in research and industry challenges to enhance machine learning algorithms for Big Data analytics and addressing challenges in this domain.

Within these repositories, you'll find a collection of projects that highlight my skills in data analysis, machine learning, and data engineering. These projects demonstrate my commitment to continuous learning and practical problem-solving.

If you're a recruiter or someone passionate about machine learning engineering and data science, I welcome the opportunity to connect with you. Let's explore how we can contribute to the field of data and technology together.

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  1. Options-Pricing-and-Analysis-Toolkit Options-Pricing-and-Analysis-Toolkit Public

    Integrates various algorithms such as Black-Scholes, Monte Carlo simulations, and models for American, European, and exotic options, enhancing capabilities in quantitative finance, risk management,…

    C++

  2. Custom-Search-Engine Custom-Search-Engine Public

    This project utilizes Flask, HTML, and CSS for web development, integrating Google, Bing, and Yahoo search APIs, alongside MySQL for efficient data storage and retrieval, in creating a custom searc…

    Python 1

  3. Diabetes-Feature-Selection-Analysis Diabetes-Feature-Selection-Analysis Public

    This project aims to evaluate the strength of features in the diabetes dataset. Multiple feature selection techniques are used, including Pearson correlation coefficient, mutual information, random…

    Jupyter Notebook 1

  4. LimitOrderBook LimitOrderBook Public

    This project harnesses the efficiency and flexibility of the C++ programming language to implement a Limit Order Book, ensuring fast order processing and optimal resource utilization in managing bu…

    C++

  5. Machine-Learning-Classification-Algorithm-Comparison Machine-Learning-Classification-Algorithm-Comparison Public

    This project is a comparative study of six different machine learning classification algorithms. The algorithms are evaluated on four synthetic datasets. The aim of the project is to determine the …

    Jupyter Notebook