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Hossam EbrahemBI Analyst Developer
Summary

Enthusiastic Junior BI Developer with a strong foundation in data analysis and visualization. Skilled in Power BI and SQL. Eager to join a dynamic team and apply my knowledge to drive business insights.

Education
Bachelor of Computer Engineering, Faculty of Engineering (Mansoura University)
September 2017 – July 2022
Languages
Arabic
English
Work Experience
Junior BI Developer, Global Data Scientists (GDS)
September 2024 – present

Power BI Reports :

  • •Developed and maintained 12+ dynamic Power BI reports covering financial metrics, system usage analytics, and project performance insights. Integrated data from multiple sources, including SQL databases, OLAP cubes, and Excel files, ensuring accurate and efficient reporting. Applied advanced DAX calculations, data modeling, and interactive visualizations to support data-driven decision-making across the company.

    • Project : "Breeding" Cube

  • •Led the conversion of a relational database (DB) into a data warehouse (DW) by effectively dividing data into measures and facts.
  • •Utilized SSIS (SQL Server Integration Services) to extract, transform, and load (ETL) data from the source DB into the DW.
  • •Leveraged SSAS (SQL Server Analysis Services) to build a multi-dimensional cube, enabling efficient data analysis and reporting.
    • Business Intelligence Analyst, Okadoc
    February 2024 – September 2024 | Dubai, Remotely

    Tools Used:

    Python, Machine Learning, Google Data Studio, Power BI, MySQL, Google BigQuery, Google Sheets, Excel.

    Projects:

  • •Created reports and dashboards using Power BI.
  • •Prepared and preprocessed data from various sources.
  • •Developed machine learning models for classification and predictions such as customer count and time forecasts.
    • Sales Data Analyst, Elgarhy Factory
    November 2022 – February 2024 | Tanta, Egypt

    Tools Used:

    Excel, Python, Power BI, BeautifulSoup, Selenium

    Projects:

  • •Developed sales reports and dashboards, including the "Product Profit Report" on GitHub.
  • •Scraped data from websites for the "Cheese Prices Scraping" project.
    • Data Science Intern, NilePreneur
    May 2022 – March 2023 | Cairo, Egypt

    Tools Used:

    Python, SQL, Excel, Google Data Studio

    Projects:

  • •Applied learned skills under supervision.
  • •Worked on small but impactful projects, with guidance on GitHub usage.
    • Personal Projects (Python, Excel, Power BI, Google Data Studio and SQL)
    Predict Profit
    2022
  • •Made EDA for Data.
  • •Used linear regression to predict company profits.
    • Separation of Customers Data
    2023
  • •Created a Python code for customer data segmentation.
    • Market Prices Data Anlaysis
  • •Analyzed market prices data using Excel and Python.
    • Skills
    Analysis and Visualization
  • •Power BI
  • •Excel
  • •Google Sheets
  • •Google Data Studio - Looker Studio
  • •Google Analytics - GA4
  • •Google BigQuery
  • •Tableau
  • •Web Scraping

    • BeautifulSoup, Mechanical Soup and Selenium

    BI Tools
  • •SQL Server Integeration Services (SSIS)
  • •SQL Server Analysis Services (SSAS)
    • Programming Languages
  • •SQL

    • (MS SQL Server, MySQL, P-SQL, T-SQL)

  • •Python

    • (Pandas. NumPy, Matplotlib, Seaborn, Scikit-Learn)

    Machine Learning (General)
  • •Neural Networks