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π Iβm currently working on Analyzing financial data,creating dashboard and bilding models to optimize business decisions
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π± Iβm currently learning Exploring advanced analytics with Knime and deppening my understanding of financial modeling.
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π― Iβm looking to collaborate on Project involving financial analysis, data visualization ,and business intelligence.
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π€ Iβm looking for help with Advanced machine learning techniques and big data analysis.
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π¨βπ» All of my projects are available at My Repositories
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π¬ Ask me about Financial data analysis ,Excel , Power BI , Google Sheet, and using business intelligence tools for insights.
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π« How to reach me medahmedportfolio.vercel.app
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π Know about my experiences medahmedportfolio.vercel.app
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β‘ Fun fact I once analyzed a large dataset in a weekend and turned it into an interactive dashboard that saved a company hours of manual reporting!
Here are some of my recent projects that showcase my expertise:
This project is a Sales & Marketing Report built using Power BI. It showcases a complete transformation of raw transactional data into an optimized Star Schema model using data modeling best practices β primarily Normalization and Denormalization techniques.
- Excel for data analysis and processing
- Power BI for dashboard visualization
- DAX for KPI calculations and data analysis
- SQL for data analysis.
This project is an interactive Power BI dashboard designed to analyze emergency room (ER) data and provide actionable insights for healthcare professionals. The dashboard leverages Business Intelligence (BI) tools to help users identify key trends, patient flow patterns, and potential areas for operational improvement.
- Excel for data analysis and processing
- Power BI for dashboard visualization
- DAX for KPI calculations and data analysis.
This project aims to analyze car sales data and create an interactive dashboard that displays key KPIs (Key Performance Indicators) to track sales performance and growth trends.
- πΉ Current Year Sales: Total sales for the current year
- π Sales Growth: Sales growth percentage compared to the previous year
- π Previous Year Sales: Total sales for the previous year
- π Sales Trend: Analysis of sales trends over different time periods.