Welcome to my Data Analyst Portfolio, a visually engaging showcase of my skills and projects related to data analysis. This portfolio, deployed in the domain 0xraphael.com, features the 20240412BetaV1.1 version.
The primary goal of this portfolio is to present my proficiency in data analysis, emphasizing key skills and showcasing a diverse range of projects. As a Data Analyst, I specialize in utilizing various tools and technologies to derive meaningful insights from data.
- Overview
- Features
- Technologies
- Skills and Technologies
- Installation
- Usage
- Bugs
- Contributing
- License
- Contact
Built with React-Three-Fiber and Tailwind CSS, this portfolio provides an interactive and visually appealing experience. The focus is on presenting data analysis projects in a clear and organized manner, allowing visitors to explore my capabilities seamlessly.
- Interactive 3D Elements: Powered by React-Three-Fiber, creating a unique and engaging user experience.
- Responsive Design: Utilizing Tailwind CSS for a seamless viewing experience across various devices.
- Detailed Project Showcase: Each project is presented with comprehensive descriptions, visualizations, and insights.
- Easy Navigation: Users can effortlessly explore different sections of the portfolio.
As a Data Analyst, I specialize in:
- SQL: Proficient in SQL Server, MySQL, and PostgreSQL
- Python: Experienced in Pandas, NumPy, SciPy, Matplotlib, Selenium, OpenCV, PyMuPDF (fitz), and skimage
- Data Visualization: Skilled in Tableau, PowerBI, Excel (VLookup, Conditional Formatting, Pivot Tables), Google Sheets, AppScripts, and Looker Studio
- Cloud & DevOps: Experience with AWS, Docker, ECR, ECS, and CI/CD pipelines
- Machine Learning: Implementation of forecasting algorithms and image processing
- Blockchain: Knowledge of cryptographic principles, Solidity smart contracts, and DeFi development
- Additional Skills:
- Web scraping automation
- PDF processing and duplicate detection
- Time series analysis
- Data transformation and ETL processes
- CRM systems and customer service
- Developed machine learning-based forecasting application with:
- Full AWS deployment using Docker, ECR, and ECS
- CI/CD pipeline implementation
- SQL database integration
- Multi-page dashboard for stakeholder insights
- User management system
- Created a sophisticated PDF duplicate detection system:
- Processes 22,000+ PDFs and 300,000+ pages monthly
- Utilizes Python libraries (fitz, OpenCV, Pandas, skimage)
- Implements machine learning for variation detection
- Generates CSV reports for easy review
- Optimizes storage and processing efficiency
- Smart contract development for DeFi applications
- Implementation of DEXs and lending platforms
- Experience with ASIC hardware configuration
- Development of trading algorithms using Rust
- React: A JavaScript library for building user interfaces.
- Three.js: A JavaScript library for creating animated 3D computer graphics.
- React-Three-Fiber: A React renderer for Three.js, facilitating the creation of 3D experiences.
- Tailwind CSS: A utility-first CSS framework for building custom user interfaces.
Additional technologies used in specific projects are detailed within each project's section.
To run this portfolio locally, follow these steps:
-
Clone this repository:
git clone https://github.com/0xrphl/Data-Analyst-Portfolio.git
-
Navigate to the project directory:
cd Data-Analyst-Portfolio
-
Install dependencies:
npm install
-
Start the development server:
npm start
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Open your browser and visit:
http://localhost:3000
You should now be able to view the portfolio locally.
Explore the portfolio to discover my data analysis projects, view visualizations, and gain insights into my skills and capabilities.
(20240225BetaV1.2) [FIXED: Mobile Platform Optimization Complete]
- Implemented dynamic render quality adjustment for mobile devices
- Optimized lighting and mesh quality for better performance
- Reduced particle system complexity on mobile platforms
- Added progressive loading for 3D elements
- Improved overall mobile navigation and responsiveness
- Multi-language Support:
- Added Spanish language support (Soporte en español añadido)
- Dynamic language switching
- Localized content and UI elements
- Preserved 3D experience across languages
If you'd like to contribute to this project, feel free to open an issue or submit a pull request. Your feedback and contributions are highly appreciated!
This project is licensed under the MIT License.
Feel free to reach out to me via email at 0xrphl@gmail.com or connect with me on LinkedIn.
- 20240225BetaV1.2 - Latest version
- Historic data updated to 20240225
- Added Spanish language support
- Fixed mobile rendering and navigation issues
- Optimized resource consumption for mobile devices
- 20240412BetaV1.1 - Previous stable version
- 20240131AlphaV0.54 - Initial release with mobile navigation issues