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Data Analyst with 2+ years in Data Analysis, BI, and AI Solutions.
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Data Analyst with experience analyzing large datasets, building BI dashboards, and delivering data-driven insights for business decision-making. Skilled in Python, SQL, Excel, Power BI, and Tableau with hands-on experience analyzing over 1M+ records, building reports, and performing advanced data analysis. Proven ability to translate complex data into actionable insights that improve operational efficiency and strategic planning.
Mansoura University
Bachelor's Degree · Computer & Control Systems Engineering
August 1, 2020 – June 30, 2025
SYLEKA
AI Automation Analyst
November 1, 2025 – Present
India
Truvian Intelligence
Data Analyst Intern
July 1, 2025 – September 1, 2025
India
Anonymous Defenders – Cybersecurity Startup
Co-Founder & Data Analytics Strategist
July 1, 2025 – Present
India
Information Technology Institute (ITI)
Business Intelligence Trainee
July 1, 2024 – September 1, 2024
India
Digital Egypt Pioneers Initiative
Machine Learning Intern
March 1, 2024 – October 1, 2024
India
E-Commerce Analytics Dashboard
June 1, 2026 – Present
Built a multi-page Power BI dashboard analyzing e-commerce database (sessions, orders, products, refunds), developing DAX measures to track traffic trends, conversion performance, and revenue efficiency. Identified high-performing marketing channels and product categories through funnel and trend analysis, enabling data-driven optimization of acquisition and sales strategies.
View ProjectStore Performance & Revenue Strategy Dashboard
June 1, 2026 – Present
Designed a star-schema data model integrating sales, targets, and customer datasets to create scalable Power BI reporting and dynamic KPIs including MoM growth and target variance. Delivered quarterly performance insights and weekday vs weekend revenue analysis, supporting data-driven staffing, inventory planning, and operational decision-making.
View ProjectRetail Store Power BI Dashboard
June 1, 2026 – Present
Built a BI dashboard analyzing 1M+ sales records to evaluate product profitability and store performance. Delivered insights on marketing campaigns and customer purchasing patterns.
View ProjectData Analysis Web App
June 1, 2026 – Present
Developed an interactive web application enabling non-technical users to upload datasets and perform automated data exploration. Reduced manual data exploration time by 60% through automated visual analytics.
View ProjectHR Dashboard
June 1, 2026 – Present
Built an interactive Tableau dashboard analyzing workforce demographics, hiring trends, and employee distribution across departments. Visualized key HR metrics including recruitment trends and workforce composition to support data-driven hiring and workforce planning decisions.
View ProjectLeadership Recognition – Digital Egypt Pioneers Initiative (DEPI)
Ministry of Communications and Information Technology
June 1, 2026 – Present
First Place - "Ebtekar" Innovation Competition
Mansoura University
June 1, 2026 – Present
Third Place - "Ebdaa13" National Competition
Ministry of Youth and Sports
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from e-commerce analytics to HR dashboards and an AI healthcare assistant, indicates adaptability and a broad interest in applying data analytics across different domains. Their involvement in innovation competitions and a startup suggests an entrepreneurial spirit and a drive for impact, which aligns well with dynamic, growth-oriented environments. The target role of Data Analyst is well-aligned with their demonstrated skills and experience, particularly in BI and reporting. The breadth of skills, including some exposure to Machine Learning, suggests a willingness to learn and adapt to new technologies.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and data storytelling skills through their project descriptions. Their experience leading a team in an ML internship and co-founding a startup suggests leadership potential and a proactive work attitude. The ability to automate workflows and improve reporting efficiency indicates a focus on operational excellence and a drive for continuous improvement. While direct collaboration experience is mentioned in the ML internship, further validation of team collaboration and stress handling would be beneficial.