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Data Analyst with less than a year in Python, SQL, and Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with a strong foundation in statistics, data analysis, and machine learning. Skilled in Python, SQL, and Power BI for data cleaning, visualization, and predictive modeling. Experienced in building dashboards and developing models to extract insights and support data-driven decision-making.
Benha University
Bachelor · Computer Science & Artificial Intelligence
August 1, 2022 – June 30, 2026
DEPI
AI & Data Science Intern
October 1, 2024 – May 1, 2025
India
Market Sales Dashboard
June 17, 2026 – Present
• Built a Power BI dashboard to analyze supermarket sales using KPIs, sales trends, and product insights. • Created interactive visualizations to support business decision-making.
View ProjectCustomer Churn Analysis & Prediction
June 17, 2026 – Present
• Built a customer churn prediction model to identify customers likely to leave. • Developed an interactive Power BI dashboard highlighting churn drivers and customer insights.
View ProjectASL Recognition System
June 17, 2026 – Present
• Developed a real-time American Sign Language recognition system using CNN and OpenCV. • Performed data collection, preprocessing, model training, and live webcam prediction.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a proactive and self-driven approach to learning and applying data science concepts. The diversity of projects (sales dashboard, churn prediction, ASL recognition) indicates a broad interest and willingness to tackle different types of problems, which can be a good cultural fit for dynamic environments. The internship experience also shows an inclination towards structured learning and practical application. However, the lack of professional experience beyond an internship means less exposure to corporate culture and team dynamics in a full-time setting.
Soft Skills & Operational Fit
The candidate lists teamwork, communication skills, problem-solving, and multitasking as soft skills. These are valuable for a Data Analyst role, which often requires collaboration and clear articulation of insights. The project descriptions are clear and concise, indicating good written communication. The candidate's academic background in Computer Science & AI further supports a strong analytical foundation.