Hi There,
I'm Mohamed Radwan

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About Me

About Me

I'm Mohamed Radwan

Aspiring Data Scientist and Data Analysis

I am an aspiring Data Scientist with a strong passion for turning raw data into meaningful insights and practical solutions. I specialize in data analysis, predictive modeling, and solving real-world problems using data. I am skilled in tools like Microsoft Excel and Power BI, and continuously expanding my knowledge in Python, machine learning, and data visualization. My goal is to become a well-rounded data professional who delivers impactful, data-driven outcomes for businesses and individuals.

Skills & Abilities

My Education

Education is not the learning of facts, but the training of the mind to think.

Bachelor’s Degree in Computer Engineering

Tanta University, Egypt

Sept 2022 – Present

Data Science Intern

Digital Egypt Pioneers Initiative (DEPI)

Nov 2024 – May 2025

Advanced Data Analysis Intern

National Telecommunication Institute (NTI)

July 2025 – August 2025

Projects Made

Experience

Data Science Intern

Digital Egypt Pioneers Initiative (DEPI)

Nov 2024 – May 2025

  • Built and deployed an XGBoost-based machine learning model that achieved 90% accuracy in forecasting product sales and demand.
  • Processed and analyzed a dataset of over 51,000 sales records, applying advanced feature engineering and data cleaning techniques.
  • Performed exploratory data analysis (EDA) to identify key patterns that affect sales trends.
  • Applied regression and time series analysis techniques to model seasonal and cyclical behavior.
  • Developed a user-friendly dashboard using Streamlit for real-time visualization and insights.
  • Activated experiments and managed model versions using MLflow.
  • Deployed the model and dashboard to Streamlit Cloud, enabling public access and interaction.
  • Tools: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, MLflow, Streamlit, Streamlit Cloud.

Data Analysis Intern

National Telecommunication Institute (NTI)

July 2025 – August 2025

  • Completed “Advanced Data Analysis” program with hands-on training.
  • Worked with Excel, Power BI, Tableau, SQL, and Python for analysis.
  • Applied web scraping, statistics, and machine learning basics.
  • Analyzed real-world datasets and built interactive visualizations.

My Services

Data Analysis

Specialized in extracting insights from complex data sets using Python libraries to support data-driven decision making.

Machine Learning Model

Developed ML models using scikit-learn, XGBoost, and TensorFlow to solve classification and regression problems.

Dashboard

Created interactive dashboards with Power BI to visualize KPIs and trends, enhancing strategic decision making.