- Computer Science student at the Faculty of Computers and Information, Minia University (GPA 3.4/4.0)
- Focused on Data Analysis & Business Intelligence — cleaning, modeling, and visualizing data.
- Comfortable across the full data lifecycle: SQL data warehousing, Python/ETL, ML modeling, interactive dashboards
- knowledge of Machine Learning: evaluating models with Scikit-learn (Logistic Regression, XGBoost), feature engineering, and ROC-AUC/accuracy evaluation
- Also build database-driven web apps with PHP / Laravel / MySQL
- Currently sharpening skills in machine learning workflows and prompt engineering / AI tooling
Python |
Pandas |
NumPy |
Scikit-learn |
Power BI |
Tableau |
Excel / DAX |
MySQL |
SQL Server |
Oracle |
PHP |
Laravel |
JavaScript |
HTML5 |
CSS3 |
Bootstrap |
React |
C++ |
C# |
Java |
Git |
GitHub |
Postman |
Linux |
Red Hat |
XGBoost |
Matplotlib |
- Global Asthma Burden Analysis — 300K+ records across 204 countries and 34 years in a SQL Server warehouse, feeding 16 dashboards (Power BI, Tableau, Excel) + a bilingual AI chatbot with an XGBoost risk model.
- Bank Marketing Analysis) — Interactive Excel/DAX dashboard on 4,521 contacts, surfacing top customer segments and a modeled 11.7% conversion rate.
- E-Commerce Web Application — Laravel + MySQL platform with a normalized 6-table schema, cutting query response time by ~40%.
Thanks You and Feel Free Bro
Ammar Abdelkabir