Ahmed Khaled
Giza
Summary
Data analysis professional prepared to deliver impactful insights and drive business decisions. Adept in data visualization, statistical analysis, and database management, with a strong focus on teamwork and adaptability. Known for reliability, analytical thinking, and a results-driven approach. Skilled in Python, SQL, Power BI, and Excel, ensuring robust data solutions and strategic recommendations.
Overview
3
3
years of professional experience
Work History
Data Analyst
AOF Group
Saudi Arabia
02.2024 - Current
- - Automated reporting workflows using Python and Power BI, increasing reports quality by 60%. And increasing the submission rate by 33%.
- - Designed relational database schemas in PostgreSQL to improve query performance and reporting accuracy.
- - Streamlined data processes by building scalable architectures for data collection and storage.
- - Transitioned manual reporting to automated dashboards in Power BI.
Data Engineer Intern
DataSkool
Egypt
07.2025 - 09.2025
- - Collaborated in moving relational data model (8+ tables) into Azure PostgreSQL using cost-efficient configurations.
- - Developed ETL pipeline (Google Forms → Google Sheets → Python → PostgreSQL) automated to run daily at midnight.
- - Built Facebook Ads pipeline using Meta API and Apps Script to update KPIs daily.
Data Specialist
Wonder-OPS
USA
06.2024 - 10.2024
- - Led a team of interns to acquire and process data through advanced web scraping techniques. Tasks Management, Productivity, And ML models.
- - Designed KPI dashboards in Power BI to track lead generation and scrubbed records.
- - Human-vs-Company-AI-Model-Classifier: AI Model classifies humans from company names with accuracy 99.96%.
- - Redfin-Land-Price-Finder: Redfin.com API Calls used to price the properties based on the Famous Redfin Website.
- - Road-Access-Filter: Using the OpenStreetMap and the margins logic to identify road-accessibility within each property.
- - Terrain-Analyst: Analyzing the Terrain of properties to keep the best for the company's interest.
- Remote
Data Science Intern
Code-Clause and Sparks Foundation
10.2022 - 11.2022
- - Built Fraud Detection model (Random Forest) achieving 99.1% accuracy.
- - Applied XGBoost to predict sales profit with MAE = 21.9.
- - Conducted clustering and EDA for terrorism dataset (K-Means, Elbow Method).
Education
B.A. - Computer Science
Cairo University
01.2028
Skills
- Python
- PostgreSQL
- Power BI
- Tableau
- Excel
- ETL
- Airflow
- Database Design
- Machine Learning
- Data Storytelling
- Data analysis
- Web scraping
Timeline
Data Engineer Intern
DataSkool
07.2025 - 09.2025
Data Specialist
Wonder-OPS
06.2024 - 10.2024
Data Analyst
AOF Group
02.2024 - Current
Data Science Intern
Code-Clause and Sparks Foundation
10.2022 - 11.2022
B.A. - Computer Science
Cairo University