I'm a Junior Data Analyst passionate about turning raw data into meaningful insights.
Skilled in SQL, Python, Excel, and Power BI.
Currently pursuing my B.Sc. in Artificial Intelligence at Benha National University.
I love building dashboards, analyzing trends, and continuously learning new tools!

• 📫 Reach me at omarramadan88888888g@gmail.com

• 📄 Check out my CV

• 💼 LinkedIn: linkedin.com/in/omarramadan555

• 📊 Portfolio: Data Analysis Portfolio

Freelance Data Analyst – Upwork & Fiverr
📅 2024 – Present

• Cleaned and visualized data for retail and finance clients, improving report accuracy by 25%.
• Manipulated datasets using SQL and Python (Pandas, NumPy), reducing processing time by 30%.
• Built interactive Power BI dashboards to monitor KPIs and enhance client decision-making.

Administrative Assistant – Jiwa Development
📅 2023 – 2024

• Automated document management processes using Excel, reducing retrieval time by 20%.
• Supported compliance and reporting tasks, improving workflow efficiency by 15%.
• Conducted basic data analysis to support operational decisions.

ICPC Team Member & Organizer – Benha National University
📅 2023 – Present

• Organized International Collegiate Programming Contest (ICPC) events, increasing participation by 15%.
• Strengthened team problem-solving skills through collaborative coding sessions and regular practice.

B.Sc. in Artificial Intelligence (In Progress) – Benha National University
📅 2022 – Expected June 2026

• Specialization: Artificial Intelligence & Data Analysis
• Relevant Courses:
  SQL · Python for Data Analysis · Machine Learning · Data Visualization · C++ ·
  Object-Oriented Programming · Data Structures and Algorithms · Statistics · Calculus ·
  Linear Algebra · Introduction to Artificial Intelligence · Networking Basics

Languages: SQL · Python · C++

Libraries: Pandas · NumPy · Matplotlib · Scikit-learn

Tools: Power BI · Excel · Tableau · GitHub · VS Code

Other: ETL · Data Cleaning · Data Wrangling · OOP · DAX · Power Query

• 🏦 Objective: Migrate banking data to Azure, build secure analytics pipelines, and create real-time dashboards for customer behavior, transactions, and risk analysis.
• 💻 Technologies Used: Azure SQL, Power BI, Python (scikit-learn), and more.
• 🔗 Key Features:
  • Data migration to Azure Cloud
  • Real-time dashboards & transactional insights
  • Machine Learning models for predictive analysis
  • Project Files: Download Here
  • Dataset: Download Here

• 🧠 An NLP project that classifies messages as Spam or Not Spam using machine learning algorithms.
• 🧹 Includes data cleaning, feature extraction with TF-IDF, and models like Naive Bayes and Logistic Regression.
• 🖥️ Features a Graphical User Interface (GUI) built with Tkinter for interactive testing.
• 📁 View Project Files

• 📦 A data visualization project analyzing Adidas sales in the US using Excel and Power BI.
• 📈 Built an interactive dashboard highlighting key KPIs such as regional sales, store types, and product categories.
• 🧩 Provides insights to support business decision-making.
• 📁 View Project Files

• 🧮 Data analysis project using Python to explore and visualize Fortune 1000 company data.
• 🔍 Applied Exploratory Data Analysis (EDA) to understand trends, distributions, and key metrics.
• 📊 Used libraries like Pandas, Matplotlib, and Seaborn to generate clear and informative visuals.
• 📁 View Project Files

• 🔬 Combines machine learning and robotics to analyze the behavior of a robotic arm.
• ⚙️ Implements both forward and inverse kinematics, and trains ML models to predict motion and positions.
• 📐 Includes 3D visualization and simulation of the robot arm using Python.
• 📁 View Project Files