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My name is Mohamed Yosef, a data scientist and researcher from Egypt. I started as a user experience (UX) designer (2021-2023), making apps and websites easy and enjoyable to use. My passion for design and creative thinking helps me a lot in my current work in data science, specifically deep reinforcement learning (deep RL), a type of machine learning that helps machines make decisions by trying different actions and learning from the results. I also study multi-agent learning, which is about teaching multiple AI agents to work together and learn and solve problems.

At Mansoura University, I lead a project called AQSA (2023-now) with a goal to help small businesses by using time-series and RL techniques to analyze and forecaste their data. So, you can say that AQSA is all about giving startups the tools to succeed!

While I don't design for businesses anymore, my love for art and creativity remains a strong personal passion. I still design the figures for my research papers and articles. The reason behind that is it feels special -- having complete control over the visual representation of my story -- which allows me to craft a clearer, more impactful work.

At the end, my main aim is to better understand the world around me and more importantly the brain inside my head. With the help of my design skills and data science techniques that I've learned over the last couple of years, I want to explain what I have discovered or known so that we can all RISE.

For more, visit my website

Mohamed Yosef's Projects

aqsa-version-0 icon aqsa-version-0

AQSA is a conversational AI project with a goal to help startups grow.

data-store icon data-store

With its extensive product offerings, highly trained staff, and sleek modern store design, DATA Store differentiated itself from the competition and quickly gained popularity.

energy-substitution icon energy-substitution

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

energy-time-series-forecasting icon energy-time-series-forecasting

Use the hourly power consumption data to predict the PJME in the future. This is done by developing a model that can be used to predict future values based on the past values of the time series.

growth-vs-unemployment icon growth-vs-unemployment

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

marketing-promotions icon marketing-promotions

Doing some regression analysis on a small business' historical marketing promotion data

rwanda-carbon-emissions icon rwanda-carbon-emissions

Building a machine learning model using open-source CO2 emissions data (from Sentinel-5P satellite observations) to predict carbon emissions.

super-dashboard icon super-dashboard

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.

titanic-survival-prediction icon titanic-survival-prediction

The Titanic dataset is a classic machine learning problem that involves predicting the survival of passengers based on various features such as age, gender, class, and more. The goal is to build a model that can accurately predict whether a passenger survived or not.

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