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Data Analyst with less than a year in Data Management & Visualization
I am a data analyst with strong skills in data management, data structuring, and data warehousing. I have hands-on experience with data warehouse schemas, designing and understanding data models, and ensuring data quality for analysis. I focus on turning raw data into useful insights based on real business questions. This helps teams make decisions based on data. My experience includes working with ETL processes, data cleaning, and building analytical solutions that meet business needs. I know T-SQL, Excel, Power BI, SSIS, and Python. I also have experience with both relational and NoSQL databases, including MongoDB. Additionally, I understand machine learning and web scraping techniques. I am passionate about using data to solve real-world problems and always seek to improve my analytical and technical skills.
Helwan University
Bachelor of Science · Computers and Artificial Intelligence - Information System
October 1, 2022 – July 1, 2026
Pixels Egypt Org
Data Analysis Instructor (Volunteer)
September 1, 2025 – Present
India
CUCAS FU Scholarships
June 24, 2026 – Present
Developed an end-to-end data analysis system to address the lack of a centralized platform for scholarship information and improve the fairness and efficiency of scholarship distribution. The project focused on analyzing scholarship opportunities, applicant data, and financial aid to uncover gaps, trends, and decision-making insights. Collected data through web scraping, then performed data cleaning and transformation, and designed a data warehouse using a star schema with multi-layer architecture (Bronze, Silver, Gold). Conducted exploratory data analysis and feature engineering, and built machine learning models (XGBoost, Random Forest) for prediction, classification, and clustering. Built interactive Power BI dashboards with dynamic parameters to visualize key metrics and support decision-makers in optimizing scholarship allocation and identifying high-impact opportunities.
View ProjectGraduation Project - Fari2y | Al-Powered Team Formation & Skill Intelligence System
June 24, 2026 – Present
Designed a data-driven system that optimizes team formation and task distribution based on skill analysis and performance insights. Built a scalable architecture with a dedicated analytics layer for advanced data processing and reporting. Leveraged GitHub data extraction to analyze coding styles and infer real skills, and applied machine learning (text-to-text models) to convert unstructured project data into structured skill representations. Enabled accurate matching, performance tracking, and intelligent recommendations to improve collaboration and ensure fair evaluation.
View ProjectE-learning Platform Analysis
June 24, 2026 – Present
Analyzed an online learning ecosystem to uncover insights about students, courses, and instructors. Built a structured database with SQL (triggers, stored procedures, views), performed data cleaning and exploration analysis, and applied Python for statistical insights. Designed interactive Power BI dashboards to visualize enrollment trends, course performance, and feedback, delivering actionable recommendations to improve engagement, revenue, and course quality.
View ProjectDigital Egypt Pioneers Initiative
Unknown
June 1, 2025 – Present
Information Technology Institute
Unknown
November 1, 2024 – Present
MEC Academy
Unknown
August 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects are diverse, covering e-learning, scholarship allocation, and team formation, indicating a broad interest in applying data analysis to different domains. The volunteer instructor role suggests a willingness to contribute and share knowledge, which is a positive cultural indicator. The breadth of technical skills (SQL, Python, Power BI, ML) and exposure to various tools (SSIS, Oracle, MongoDB) show adaptability and a continuous learning mindset. The target role of Data Analyst aligns well with the candidate's demonstrated skills and project focus.
Soft Skills & Operational Fit
The candidate demonstrates good communication and presentation skills through their volunteer instructor role. Project descriptions highlight teamwork, problem-solving, and time management. The academic projects show an ability to work on end-to-end data analysis systems, from data collection to visualization and recommendation, which aligns well with operational requirements for a Data Analyst.