Data Scientist

Technical Skills: Python, SQL, Azure, Snowflake, Machine Learning , DL , PostgresSQL , PowerBI , Tableau , LookerStudio , ETL , SSIS ,SSAS ,SSRS

My Git Hub Ripo (Projects)
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Education

1. Pre-M.S., Physics

   The University of Mansoura (August 2022_)

2. Intensive Training Program “Business Intelligence Track

   Information Technology Institute (ITI) (May 2024_)

3. B.S., Applied Medical Sciences

   October 6 University. (November 2021_) with GPA : 3.9 “Top %5 of my class”

Projects

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Churn prediction : Analyze and Predict The HR Attrition Patterns

HR Attrition Application

1. Developed an HR attrition prediction app using Catboost Algorithm, achieving 96% accuracy.
2. Created Tableau ,Excel dashboards and EDA using pandas , matplotlib and plotly.express for HR analytics, demonstrating data visualization skills.

“Cost-Saving Insights: Supplier Analysis & Dashboard ”

Company Analysis Invoices

1. Identify cost-saving opportunities by analyzing supplier performance and negotiating better terms.
   
2. Created an interactive Power BI dashboard showcasing key business metrics.
   
3. Conducted exploratory data analysis (EDA) using Python (pandas and matplotlib).
   
4. Built a Streamlit web app for deployment.
   

Customer Behavior Analysis identifies hidden patterns -Association rule algorithm

1. Uncover hidden patterns and insights from customer transaction data using the Apriori algorithm
   
2. Develop data-driven insights that drive business decisions and improve overall revenue.
   
   • Customer Behavior Analysis Blog

Data Mart Project (AdventureWorks) ETL using SSIS

• Designed and implemented ETL processes using SSIS.
  
• Leveraged Kimball and Data Vault methodologies for robust data warehousing modeling.
  
• Demonstrated expertise in data integration, transformation, and architecture.
  
• Skills Highlight: SSIS, Kimball, Data Vault ———————————————————————————————————————

Heart-Disease-Prediction

1. Developed a machine learning model to predict heart disease risk.
   
2. Leveraged algorithms such as logistic regression, decision trees, and random forests.
   
3. Demonstrated proficiency in feature engineering, model evaluation, and health analytics.
   

   • Skills Highlight: Machine Learning, Python (scikit-learn), pandas , matplotlib
     

     Covid-19 EDA

4. Conducted in-depth analysis of pandemic data, revealing trends, hotspots, and impact factors.
   
5. Leveraged Python (pandas, matplotlib) to visualize and interpret critical health metrics
   

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College Class Team Leader:

Led and coordinated a team within my college class, fostering collaboration and achieving project goals. skills : “Leadership Experience”

Entrepreneurship Workshop Team Leader (ALX Founder Academy):

Guided a team during entrepreneurship workshops, facilitating ideation, problem-solving, and project execution.

Certficates

1. Certifies of English Language Proficiency Test (ELPT) Equivalent to the TOEFL test
2. Data Science Career Track Certification - 365 Data Science
3. Certified Data Scientist (365 Data Science)
4. Certified Data Scientist (Machinfy Diploma)
5. Completed McKinsey Forward Program

• Data Science Blog