Passionate about turning raw data into meaningful insights. I've worked with real-world datasets spanning retail sales, e-commerce, and business analytics — building dashboards, data models, and end-to-end pipelines.

• 🔭 Currently working on data analysis projects using Python, Power BI, and SQL
• 🌱 Pursuing the IBM Data Analyst Professional Certificate (Coursera)
• 💼 Former Data Analyst Intern Semicolon Codes
• 📫 Reach me at: mohab.ahmed.ntss@gmail.com

Python · Pandas · Streamlit · Plotly

Built a full data pipeline from raw messy data to a live interactive dashboard. Covers 4 datasets (500 customers, 120 products, 3,000 orders, 3,050 payments), applied comprehensive data cleaning, and deployed publicly on Streamlit Cloud.

Excel · Power Pivot · DAX

Analyzed $629.6M in net sales across a star schema model with 5 interrelated tables. Built an interactive Excel dashboard with dynamic slicers, KPI cards, and 4 chart types revealing Electronics as the dominant category (64% of profit).

Power BI · Power Query · DAX

Identified peak sales months and flagged underperforming periods through time series analysis. Delivered geospatial and product-level insights via an interactive Power BI dashboard.

Microsoft SQL Server

Designed and implemented a normalized relational database with 4 tables. Wrote queries using JOINs, aggregations, and GROUP BY to analyze product performance and calculate total revenue.