I am a results-driven Data Analyst.Currently, I serve as the Vice Head of Data Analysis at the IEEE Beni Suef Student Branch, where I lead technical teams to solve real-world data challenges.
*🎓 Education: B.Sc. in Computer Science (Expected 2028).
*💼 Experience: Data Analysis Intern at Codveda Technologies.
*💡 Specialization: End-to-end analytical workflows, from data cleaning to interactive dashboarding.
*🏅 Honors: Selected for the McKinsey Forward Program for advanced problem-solving.
| Category | Tools & Technologies |
|---|---|
| Programming | Python (Pandas, NumPy, Matplotlib, Seaborn), SQL, DAX, C++ |
| Data Visualization | Power BI, Microsoft Excel (Advanced) |
| Analysis | EDA, Statistical Modeling, Predictive Analytics, Data Cleaning |
| Platforms | Jupyter Notebook, Power Query, MS SQL Server |
Developed an interactive Power BI dashboard to analyze customer behavior and geographical sales trends.
- Identified delivery optimization opportunities and peak order periods (Diwali sales).
- Used DAX and Power Query to drive revenue improvement strategies.
Built an Excel-based dashboard tracking KPIs like conversion rates and call drop rates for a sales team.
- Analyzed productivity trends to identify top performers and operational gaps.
A comprehensive Power BI project visualizing revenue against targets and weekly sales patterns.
- Focused on data storytelling to help leadership optimize sales strategies.
*Vice Head of Data Analysis (IEEE Beni Suef): Directed a team of 10+, implementing statistical workflows and mentoring junior members in Python and data visualization.
McKinsey Forward Participant: Applied structured problem-solving frameworks to complex business scenarios in a global collaborative environment.
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📧 Email: Mohameddahi657@gmail.com
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💼 LinkedIn: [https://www.linkedin.com/in/mohammeddahi/]
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🌍 Location: Beni Suef, Egypt
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🗣️ Languages: Arabic (Native), English (Proficient)