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@meter-w-nos

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mohamedyosef101/README.md
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My journey began with a strong interest in data and mathematics, which has led me to work on diverse projects that apply machine learning and AI to real-world problems.

I've worked with businesses to help them use AI to improve decision-making, develop chatbots, and automate tasks. My experience includes building recommendation systems, forecasting models, and conducting time-series analysis for various industries. I’ve also led research projects that explore the intersection of economic trends like Unemployment rate after COVID-19, energy consumption, and human performance, like my recent analysis of the 2024 Olympics.

Beyond my freelance work, I’ve developed apps (AQSA & EVNTO) for universities and startups, leveraging AI to create meaningful user experiences. I enjoy collaborating with different teams to bring AI-driven solutions to life, and I’m always looking for new opportunities to explore how AI can shape the future.

Currently, I’m focused on mastering reinforcement learning, while continually expanding my knowledge in Natural Language Processing and Time Series Analysis.

For more, visit my website.

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  1. Super-Dashboard Super-Dashboard Public

    The growth of supermarkets in most populated cities are increasing and market competitions are also high. In this dashboard we'll give it a try and turn everything into a readable visualizations.

    Python 2 3

  2. energy-substitution energy-substitution Public

    The energy system has transformed dramatically since the Industrial Revolution. We see this transformation of the global energy supply in this project.

    Jupyter Notebook 1

  3. growth-vs-unemployment growth-vs-unemployment Public

    Exploring the relationship between the growth rate of the economy and the unemployment rate in the last four years since COVID-19.

    Jupyter Notebook 1

  4. 101_learning_area 101_learning_area Public

    Collection of my learning projects.

    Jupyter Notebook 1