🚀 Edoh-Onuh Projects Portfolio

👨‍💻 About

This repository showcases my practical experience across key data domains: Data Engineering: building robust data pipelines, managing ETL processes, and working with diverse storage solutions. Data Science: Applications of machine learning, statistical modeling, and predictive analytics to solve real-world problems.

📊 Projects Overview

🎮 E-Sport Analytics Platform

• Tech Stack: React, FastAPI, MySQL, Tailwind CSS
• Features: Real-time analytics dashboard, player statistics, team performance metrics
• Status: Production Ready ✅

🏥 Diabetes Prediction Model

• Tech Stack: Python, Scikit-learn, Pandas, Jupyter
• Features: Machine learning model for diabetes risk assessment
• Status: Complete ✅

🔍 Fraud Detection System

• Tech Stack: Python, Machine Learning, Data Analysis
• Features: Advanced fraud detection algorithms
• Status: Complete ✅

⚙️ ETL Data Pipeline

• Tech Stack: Python, Data Processing, Database Management
• Features: Automated data extraction, transformation, and loading
• Status: Complete ✅

🏅 Olympic Gender Analysis

• Tech Stack: Python, Data Visualization, Statistical Analysis
• Features: Gender representation analysis in Olympic sports
• Status: Complete ✅

🌱 Sustainable Energy Analysis

• Tech Stack: Python, Data Science, Environmental Analytics
• Features: Renewable energy trends and sustainability metrics
• Status: Complete ✅

📈 Tesla Stock Analysis

• Tech Stack: Python, Financial Analysis, Time Series
• Features: Stock price prediction and market analysis
• Status: Complete ✅

📝 Text Classification System

• Tech Stack: Python, NLP, Machine Learning
• Features: Automated text categorization and sentiment analysis
• Status: Complete ✅

🌍 World Happiness Analysis

• Tech Stack: Python, Statistical Analysis, Data Visualization
• Features: Global happiness trends and correlation analysis
• Status: Complete ✅

🛠️ Technologies Used

Languages: Python, JavaScript, SQL, HTML/CSS
Frameworks: React, FastAPI, Flask, Pandas, Scikit-learn
Databases: MySQL, SQLite, PostgreSQL
Tools: Jupyter, Git, Docker, VS Code
Cloud: Azure Cloud Platform

🚀 Getting Started

Each project contains its own README with specific setup instructions. General requirements:

# Python projects
pip install -r requirements.txt

# JavaScript projects
npm install

📧 Contact

• Email: adanu1947@gmail.com
• GitHub: @JohnEdohOnuh
• LinkedIn: John Edoh Onuh

📄 License

This portfolio is open source and available under the MIT License.

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