Software Engineering Student | Machine Learning & MLOps
Fourth-year student with a foundation in programming and data analysis, now training in machine learning.
About
I'm a fourth-year Software Engineering student at Assiut National University. I started with programming and front-end development, then moved into data analysis through a university bootcamp, where I cleaned a banking dataset and built a Power BI dashboard on top of it.
Machine learning is what I'm focused on now. I'm training in Microsoft Machine Learning through DEPI, and I'm working toward turning my customer churn analysis into a full model. I'm also learning the MLOps side: how models get deployed and maintained.
Projects
All three are solo projects. Each one shows its current state.
Cleaned and standardized 14 fields, then found that 27.3% of customers churned and that no single variable explains it. Next: logistic regression and tree-based models with proper evaluation.
University bootcamp project. Cleaned 10,000+ records, wrote SQL across multiple tables, and built a multi-page Power BI dashboard with about 20 visuals. Flagged elevated risk in an estimated 10 to 15% of loan cases.
An Arabic menu website for a juice and dessert shop in Assiut. Visitors enter their first name, browse the menu and search it. A front-end project from before I moved into data and ML.
Visit the website ↗Skills
Grouped by relevance to ML work. Items marked "learning" are in progress.
Learning
What I'm studying right now.
DEPI, July to December 2026. Core ML concepts, supervised and unsupervised algorithms, Python libraries.
Applying proper metrics and validation to the churn model.
How models are deployed and maintained in real applications.
Education
Faculty of Computers and Artificial Intelligence, Assiut National University
Fourth year, expected graduation 2027
Cumulative grade up to third level: Excellent, 86%
Also: SQL (Basic), HackerRank. C++, Sololearn. HTML, TeraCourses.
Contact
Open to ML internships and junior roles, in Egypt or remote.