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Data Science with 1+ years in Machine Learning & Power BI
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Assessing your cultural and operational fit
Data Scientist with strong experience in data analysis, e-commerce insights, and business decision support. Skilled in transforming complex datasets into actionable insights across commercial, marketing, and operational domains. Experienced in building dashboards, performing funnel analysis, and developing predictive models to support strategic growth and operational efficiency.
Cairo University
Bachelor's degree · Computer Science (Data Science)
August 1, 2020 – June 30, 2024
Upwork
Data Analyst – (Remote)
July 1, 2025 – Present
India
EWM Egypt
IT and Data Analyst - (Full-time)
November 1, 2024 – March 1, 2026
India
WorldQuant University
Data Scientist Intern –
May 1, 2023 – August 1, 2023
India
Freelance Project – Restaurant Bookkeeping & Profit Dashboard
June 1, 2026 – Present
Extracted, cleaned, and organized restaurant data from multiple sources using Python and Excel. Designed automated tables and workflows to monitor sales, expenses, and profitability. Built Google-sheet bookkeeping report and profit-tracking dashboard for an American burger restaurant.
Freelance Project – Dry Clean Automated Reporting System (Excel & VBA)
June 1, 2026 – Present
Built an automated Excel system that consolidates branches data into a single cumulative sheet. Created VBA forms to ensure data consistency and accurate entry of sales, expenses, and daily summaries. Designed automated dashboards to analyze overall performance, balances, and branch-to-branch comparisons.
E-Commerce Sales Analysis (MS SQL & Power BI)
June 1, 2026 – Present
Designed and implemented a retail sales data warehouse using SQL and ETL pipelines, applying the bronze-silver-gold architecture to integrate and cleanse data from CRM and ERP systems. Developed interactive Power BI dashboards on top of the warehouse, providing commercial and sales teams with actionable insights into revenue, customer behavior, and product performance.
Customer Retention Strategy (Python)
June 1, 2026 – Present
Analyzed customer churn data using Python, applying statistical analysis to identify at-risk customers and uncover key patterns and drivers behind customer attrition. Developed interactive dashboards using Dash and visualizations with Matplotlib and Seaborn to present insights clearly and support data-driven retention strategies.
View ProjectExcel DataMart Analysis (Excel)
June 1, 2026 – Present
Built an interactive sales dashboard and applied linear regression, after validating model assumptions, to analyze performance, spot trends, support business decisions, and forecast future sales.
ReTuning (Graduation Project)
May 1, 2024 – May 1, 2024
Developed a meta-learning-inspired decision-support platform that automates data cleaning, model selection, and prediction for non-technical small and medium-sized businesses. Used experience from past learning tasks to automatically recommend suitable models and present clear analytical insights and predictions through a simple, guided, and business-friendly interface.
View ProjectMicrosoft Certified: Power BI Data Analyst Associate (In progress)
Microsoft
June 1, 2026 – Present
Building LLM Applications with Prompt Engineering, NVIDIA
NVIDIA
June 1, 2026 – Present
Applied Data Science Lab, World Quant University
WorldQuant University
June 1, 2026 – Present
Google Data Analytics, Coursera
Coursera
June 1, 2026 – Present
Advanced Data Analysis, Udacity
Udacity
June 1, 2026 – Present
SQL & Python (Intermediate), Hacker Rank
Hacker Rank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including freelance, personal, and academic projects, indicates a proactive and self-driven individual. Their experience spans various industries (retail, restaurant, dry cleaning) and tools (Excel, Python, SQL, Power BI), suggesting a willingness to learn and adapt. The target role of 'Data Science' aligns well with their education and internship, though their professional experience leans more towards Data Analyst roles. The breadth of skills is good, but deeper engagement with advanced data science concepts in a professional setting is limited.
Soft Skills & Operational Fit
The candidate demonstrates adaptability and problem-solving skills through diverse project work and freelance engagements. Their experience in gathering business requirements and communicating insights suggests good operational fit for roles requiring stakeholder interaction. However, the lack of completed psychometric or English tests makes it difficult to fully assess stress handling, teamwork, and advanced communication clarity.