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ā—ˆ   ABOUT ME   ā—ˆ

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Iā€™m Ziad Sayed Ahmed, focused on Data Science, Data Analysis, and Machine Learning.

I work with data to uncover patterns, understand business performance, and turn raw information into meaningful insights.

My work combines analytical thinking, programming, visualization, and practical problem-solving.


ā—ˆ   TECHNOLOGY UNIVERSE   ā—ˆ

### PROGRAMMING & DATABASES Python   MySQL   Git   GitHub   VS Code

### DATA SCIENCE & MACHINE LEARNING Pandas    NumPy    Scikit-learn    Matplotlib

### BUSINESS INTELLIGENCE Power BI    Microsoft Excel

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ā—ˆ   FEATURED PROJECTS   ā—ˆ

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šŸ“Š Retail Sales Intelligence

A business intelligence project focused on analyzing retail sales, tracking performance indicators, and identifying trends that support better business decisions. **Core areas** * Sales and product performance * Business KPIs * Data visualization * Interactive reporting ā†— Explore Repositories

šŸ§  Customer Churn Prediction

A predictive modeling project designed to analyze customer information and identify patterns associated with customer churn. **Core areas** * Exploratory data analysis * Feature engineering * Classification models * Model evaluation ā†— Explore Repositories

šŸ¤– Loan Approval Prediction

A machine learning project that uses applicant information to explore patterns and predict loan approval outcomes. **Core areas** * Data preprocessing * Exploratory analysis * Classification * Model evaluation ā†— Explore Repositories

āš™ļø CPU Scheduling Simulator

A programming project exploring CPU process scheduling and the behavior of common scheduling algorithms. **Algorithms** * First Come, First Served (FCFS) * Shortest Job First (SJF) * Priority Scheduling * Round Robin ā†— Explore Repositories

šŸ“¦ Inventory Management System

A software project focused on inventory operations and organizing product-related information. ā†— Explore Repositories

ā—ˆ   THE DATA PIPELINE   ā—ˆ



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ā—ˆ   AREAS OF FOCUS   ā—ˆ

šŸ“ˆ Data Analytics

Exploring datasets, identifying trends, analyzing relationships, and communicating findings through clear reports and visualizations.

šŸ§  Machine Learning

Developing practical understanding of predictive modeling, classification, feature engineering, and evaluation methods.

šŸ—„ļø SQL & Databases

Working with relational data, joins, aggregations, filtering, and analytical queries to extract useful information.

šŸ“Š Power BI

Designing dashboards and reports that help users explore business performance and understand important metrics.

ā—ˆ   GITHUB ANALYTICS   ā—ˆ

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ā—ˆ   AUTOMATION & CONTRIBUTIONS   ā—ˆ



Contribution visualizations and automated profile updates can be added using GitHub Actions. The contribution animation below can be enabled after configuring its workflow in the repository.

ā—ˆ   BEYOND DATA SCIENCE   ā—ˆ



I also explore software development and computer science projects to strengthen my programming fundamentals and problem-solving skills.

ā—ˆ   LET'S CONNECT   ā—ˆ







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Designed with curiosity, analytical thinking, and a passion for data.