Data Analyst with 2+ years in Data Analysis & Visualization
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Assessing your cultural and operational fit
Data Analyst and Computer Science Graduate with hands-on experience in Data Analysis, Reporting, and Dashboard development. Skilled in Python, SQL, Excel, and BI tools to perform data cleaning, Statistical analysis, and Visualization. Proven ability to transform raw data into actionable insights that support business, HR, and Operational Decision-Making. Seeking a Data Analyst role where analytical expertise and problem-solving skills contribute to measurable business outcomes.
Akhbar Elyom Academy
Bachelor's Degree · Computer Science
September 1, 2021 – June 1, 2025
Ergo Company
Data Analysis Specialist
August 1, 2025 – Present
Madīnat Sittah Uktūbar, Giza Governorate, Egypt
Pyramids Express @ Orange
Retail Sales and Customer Service
June 1, 2024 – July 1, 2025
Madīnat Sittah Uktūbar, Giza Governorate, Egypt
DEPI (Digital Egyptian Pioneers Initiatives)
Data Analysis Specialist Intern
June 1, 2024 – December 1, 2024
Madīnat Sittah Uktūbar, Giza Governorate, Egypt
GDSC (Akhbar Elyom Academy)
Data Analysis Instructor
September 1, 2023 – February 1, 2024
Madīnat Sittah Uktūbar, Giza Governorate, Egypt
Cancer Mortality Rate Dashboard
June 1, 2026 – June 1, 2026
• Created a comprehensive dashboard analyzing population growth and cancer mortality trends across multiple years. • Cleaned, processed, and structured demographic datasets using Excel and Tableau. • Recognized long-term patterns and anomalies to support reporting, forecasting, and data-driven analysis.
Supplier Quality Analysis Dashboard
June 1, 2026 – June 1, 2026
• Produced a supplier quality analytics dashboard analyzing defect trends across materials and vendors. • Cleaned and integrated data from multiple Excel sources to ensure consistency and accuracy. • Visualized defect frequency and supplier-material relationships using Excel and Tableau. • Discovered quality gaps that supported supplier evaluation and process improvement initiatives.
Customer Churn Analysis Dashboard
June 1, 2026 – June 1, 2026
• Conducted a customer churn analysis project using Excel to identify key drivers of customer attrition. • Analyzed churn patterns across demographics, internet usage behavior, payment delays, and support interactions. • Identified a churn volume of approximately 250K customers, with higher churn among mature, high-usage users. • Consulted data-driven insights and retention recommendations aimed at reducing churn and improving customer satisfaction.
HR Analytical Dashboard
June 1, 2026 – June 1, 2026
• Designed and developed an interactive HR analytics dashboard to monitor workforce data and hiring progress. • Analyzed job vacancies, departmental hiring distribution, job requirements, and candidate acceptance ratios. • Built visualizations to track hiring timelines, job status, and role classifications in real time. • Enabled HR teams to make data-driven recruitment and workforce planning decisions.
Databricks
365 Data Science
November 19, 2025 – Present
Data Warehousing
365 Data Science
November 12, 2025 – Present
Mathematics for Machine Learning
Coursera
May 28, 2024 – Present
Statistics
365 Data Science
November 20, 2023 – Present
Python
365 Data Science
November 20, 2023 – Present
Data Cleaning & Preprocessing with Python
365 Data Science
November 19, 2023 – Present
Intro to ChatGPT & Generative AI
365 Data Science
November 16, 2023 – Present
Git & GitHub
365 Data Science
November 14, 2023 – Present
Intro to Jupyter
365 Data Science
November 8, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from academic to freelance, and their experience as an instructor, indicate adaptability and a proactive approach to learning and applying skills. The target role of Data Analyst aligns well with their demonstrated project work and certifications. Their involvement in initiatives like DEPI and GDSC suggests a collaborative and community-oriented mindset, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail, problem-solving, and communication skills through project descriptions and teaching roles. Their experience in monitoring data integrity and deploying automation tools suggests an operational fit for roles requiring meticulous data management and efficiency improvements. The ability to mentor and guide students also highlights leadership potential and collaborative skills.