I'm a developer who specializes in... from... Give an introduction about yourself, who are you, what are your most important skills and what differentiates you from other devs. This is the first thing clients will see. They are often interested in sector experience and knowledge, so please mention it. --- **Employment and project experience** **Senior Developer** Salesforce Inc. _January 2017 - March 2017_ **Full-stack Developer** Microsoft Inc. _January 2019 - March 2019_

Mohamed Hassan El-Qappaney

I'm a developer who specializes in... from... Give an introduction about yourself, who are you, what are your most important skills and what differentiates you from other devs. This is the first thing clients will see. They are often interested in sector experience and knowledge, so please mention it. --- **Employment and project experience** **Senior Developer** Salesforce Inc. _January 2017 - March 2017_ **Full-stack Developer** Microsoft Inc. _January 2019 - March 2019_

Available to hire

I’m a developer who specializes in… from…

Give an introduction about yourself, who are you, what are your most important skills and what differentiates you from other devs. This is the first thing clients will see. They are often interested in sector experience and knowledge, so please mention it.


Employment and project experience

Senior Developer Salesforce Inc.
January 2017 - March 2017

Full-stack Developer Microsoft Inc.
January 2019 - March 2019

See more

Experience Level

Expert
Intermediate
Intermediate
Intermediate
Beginner

Language

Arabic
Fluent
English
Advanced

Work Experience

Business Intelligence Specialist (Internship) at Information Technology Institute (ITI) | Cairo University, Egypt
February 1, 2025 - July 31, 2025
Completed a hands-on, full-time training program focused on Data Warehousing, ETL, Data Visualization, and BI tools such as Power BI and SSIS. Developed and presented end-to-end Business Intelligence projects simulating real-world business scenarios including hotel reservation system reporting, customer churn analysis, HR attrition dashboard, and superstore sales analysis using tools like Tableau and MDX.
Business Intelligence Specialist (Intensive Code Camp) at Information Technology Institute (ITI) | Cairo University, Egypt
February 1, 2025 - July 31, 2025
Completed a hands-on, full-time training program focused on Data Warehousing, ETL, Data Visualization, and BI tools such as Power BI and SSIS. Developed and presented end-to-end Business Intelligence projects simulating real-world business scenarios including hotel reservation system, customer churn analysis, HR attrition analysis dashboard, and superstore sales analysis.

Education

Bachelor of Computer Science at Faculty of Computer Science, Helwan University
January 1, 2019 - December 31, 2023
Bachelor of Computer Science at Faculty of Computer Science, Helwan University
January 1, 2019 - December 31, 2023

Qualifications

Microsoft Certified: Power BI Data Analyst Associate (PL-300)
June 1, 2025 - June 30, 2025
Hacker Rank Certified: SQL (Basic – Intermediate – Advanced)
May 1, 2025 - May 31, 2025
Microsoft: Prepare Data For Analysis with PowerBi
May 1, 2025 - May 31, 2025
Microsoft: Model Data With PowerBi
May 1, 2025 - May 31, 2025
Microsoft: Power BI Data Analyst Learning Path
April 1, 2025 - April 30, 2025
DataCamp: Microsoft Azure Fundamentals (AZ-900)
April 1, 2025 - April 30, 2025
MaharaTech: ITI Database (SQL – Advanced SQL)
January 1, 2025 - January 31, 2025
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
June 1, 2025 - June 30, 2025
Hacker Rank Certified: SQL (Basic – Intermediate – Advanced)
May 1, 2025 - May 31, 2025
Microsoft: Prepare Data For Analysis with PowerBi
May 1, 2025 - May 31, 2025
Microsoft: Model Data With PowerBi
May 1, 2025 - May 31, 2025
Microsoft: Power BI Data Analyst Learning Path
April 1, 2025 - April 30, 2025
DataCamp: Microsoft Azure Fundamentals (AZ-900)
April 1, 2025 - April 30, 2025
MaharaTech: ITI Database (SQL – Advanced SQL)
January 1, 2025 - January 31, 2025

Industry Experience

Software & Internet, Telecommunications, Travel & Hospitality, Non-Profit Organization, Professional Services
    paper HR Analysis

    The HR Attrition Analysis Dashboard is a comprehensive Power BI report designed to help organizations understand employee attrition trends and their underlying causes. The dashboard provides key insights into attrition rates, employee demographics, and factors influencing turnover.
    Key Features:
    . Overall Attrition Overview:
    Displays total employee count, attrition percentage, and trends over time.
    Highlights voluntary vs. involuntary attrition.
    . Demographic Analysis:
    Attrition breakdown by age, gender, department, and job role.
    Identifies high-risk employee segments.
    . Attrition by Tenure & Experience:
    Analyzes attrition rates based on years of experience and tenure within the company.
    Helps assess retention challenges for new hires and long-term employees.
    . Performance & Attrition Correlation:
    Examines how performance ratings impact attrition trends.
    Helps identify whether high-performing employees are leaving.
    . Salary & Compensation Insights:
    Investigates the relationship between salary levels and attrition.
    Compares attrition trends across different pay grades.
    . Work Environment & Attrition Factors:
    Includes metrics related to work-life balance, job satisfaction, and workload.
    Assesses how company policies and benefits impact employee retention.
    . Interactive Filtering & Drill-Down Capabilities:
    Users can filter data by department, location, tenure, and other key attributes.
    Provides deep insights into specific employee groups.
    Business Impact:
    Helps HR professionals and decision-makers identify attrition risks.
    Supports strategic workforce planning by predicting future attrition trends.
    Enables data-driven interventions to improve employee retention.
    This HR Attrition Analysis Dashboard is a valuable tool for organizations looking to reduce turnover and improve employee satisfaction through data-driven insights.

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