Open to opportunities

muhammad seyam

@muhammadseyam

Message

I'm an AI student transforming data into actionable insights through Python, SQL, Power BI, and machine learning.

Egypt

Message

What I'm looking for

I'm looking for opportunities to apply data analysis and machine learning to real-world problems, build insightful dashboards and analytical solutions, and deepen my AI expertise through hands-on projects and collaborative teams.

I'm building practical data and AI skills through the National Telecommunication Institute's Digital Egypt Youth program, applying regression, classification, clustering, PCA, feature engineering, and model optimization to real-world datasets.

I've also trained in data analysis through DEPI, where I developed Power BI dashboards, data models, DAX-based visualizations, and reports. As NLP Vice Head at IEEE Kafrelsheikh Student Branch, I contribute to AI and NLP learning while supporting technical training and team collaboration.

Experience

Work history, roles, and key accomplishments

NLP Vice Head

IEEE Kafrelshiekh Student Branch

Feb 2026 - Jun 2026 (4 months)

NLP Vice Head at IEEE Kafrelsheikh Student Branch for the 2025–2026 season.

NLP Machine Learning Teaching Management Technical Training

Machine Learning & Data Analysis Trainee

National Telecommunication Institute (NTI)

Oct 2025 - Dec 2025 (2 months)

Selected and trained under the Digital Egypt Youth (DEY) program by the National Telecommunication Institute (NTI), supervised by the Ministry of Communications and Information Technology (MCIT). Learning advanced concepts in Machine Learning and Data Analysis, including data preprocessing, feature engineering, and model optimization.

Python Machine Learning Data Analysis data preprocessing Feature Engineering Model Optimization regression Classification Clustering PCA scikit learn TensorFlow Freelancing Soft Skills

Machine Learning for Data Analysis Trainee

National Telecommunication Institute (NTI)

Oct 2025 - Dec 2025 (2 months)

Selected and trained under the Digital Egypt Youth (DEY) program by the National Telecommunication Institute (NTI), supervised by the Ministry of Communications and Information Technology (MCIT).

Learning advanced concepts in Machine Learning and Data Analysis, including data preprocessing, feature engineering, and model optimization.

Applying algorithms such as regression, classification, clust

Python

Machine Learning Trainee

IEEE Kafrelshiekh Student Branch

Oct 2025 - Dec 2025 (2 months)

Contributing as a Machine Learning Trainee within the IEEE Kafrelsheikh Student Branch, focusing on developing strong practical skills in AI and data-driven methodologies.

Data Processing Machine Learning scikit learn

Data Analyst trainee

Digital Egypt Pioneers Initiative - DEPI

Oct 2024 - May 2025 (7 months)

-Introduction to Data Analysis & Power BI – Basics of data analysis, BI concepts, and Power BI
introduction.
-Data Visualization & DAX – Data exploration, interactive visuals, and DAX fundamentals.
-Dashboard & Report Development – Designing dashboards, storytelling, and Tableau comparison.
-Data Modeling & Integration – Relationships, data transformation, and prompt engineering.
-Evaluation & P

SQL Power BI