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A modern, responsive portfolio website showcasing projects and skills, for data scientists, machine learning engineers, data analysts, or any professionals interested in showcasing their work to potential employers or clients.

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Portfolio Website

A modern, responsive portfolio website showcasing projects and skills, for data scientists, machine learning engineers, data analysts, or any professionals interested in showcasing their work to potential employers or clients.

Portfolio Preview

Overview

This portfolio website is designed to present professional work and technical skills in a visually appealing way. It features a modern UI with smooth animations, responsive design, and project filtering capabilities. The website includes detailed project pages that showcase technologies, features, and metrics for each individual project.

Features

  • Responsive Design: Fully adapts to all device sizes from mobile to desktop
  • Dynamic Project Showcase: Filter projects by category (ML, NLP, LLM, etc.)
  • Detailed Project Pages: Individual pages for each project with complete information
  • Performance Optimized: Fast loading with preloaded critical assets
  • Smooth Animations: Subtle animations enhance user experience without slowing down the site
  • SEO Ready: Includes meta tags and schema markup for better search engine visibility
  • Accessible: Built with accessibility best practices
  • Dark Mode: Modern dark UI theme with accent colors
  • Contact Section: Easy way for visitors to reach out

Technologies Used

  • HTML5: Semantic markup structure
  • CSS3:
    • Custom CSS properties for consistent theming
    • CSS Grid and Flexbox for responsive layouts
    • Media queries for device adaptation
    • CSS animations and transitions
  • JavaScript:
    • ES6+ features
    • DOM manipulation
    • Smooth scrolling
    • Dynamic content loading
    • Project filtering
  • No frameworks or libraries: Built with vanilla HTML, CSS, and JavaScript for optimal performance

Project Structure

portfolio-ws/
│
├── assets/                # Images and media files
│   ├── bank-complaints.webp
│   ├── telegram.webp
│   ├── forex.webp
│   └── ...
│
├── css/                   # Stylesheet files
│   ├── components/        # Component-specific styles
│   │   ├── nav.css
│   │   ├── cards.css
│   │   ├── forms.css
│   │   └── project-detail.css
│   │
│   ├── main.css           # Main stylesheet
│   └── utilities.css      # Utility classes
│
├── js/                    # JavaScript files
│   ├── animations.js      # Animation logic
│   ├── main.js            # Main functionality and projects data
│   └── project-detail.js  # Project detail page functionality
│
├── index.html             # Home page
├── project-detail.html    # Project detail page template
└── README.md              # This documentation file

Installation & Setup

  1. Clone the repository:

    git clone https://github.com/sebasr0/portfolio-ws.git
    cd portfolio-ws
    
  2. Local Development:

    • Open the index.html file in your browser, or
    • Use a local development server like Live Server in VSCode
    • Alternatively, use any HTTP server:
      # Using Python
      python -m http.server
      
  3. Deployment:

    • Deploy to any static hosting service like GitHub Pages, Netlify, Vercel, or any web hosting provider
    • No build step required as this is a static site

Usage

Adding New Projects

To add a new project to the portfolio, follow these steps:

  1. Add your project details to the projects array in js/main.js:
{
    id: 'your-project-id',
    title: 'Your Project Title',
    description: 'Brief description of your project.',
    image: 'assets/your-project-image.webp',
    category: 'your-category', // e.g., 'ml', 'nlp', 'llm'
    technologies: ['Tech 1', 'Tech 2', 'Tech 3'],
    link: 'https://yourlivedenolink.com' // Optional
}
  1. Add detailed project information in js/project-detail.js within the projectsData object:
'your-project-id': {
    title: 'Your Project Title',
    category: 'your-category',
    description: `Detailed multi-paragraph description of your project.
    
    Second paragraph with more details.
    
    Third paragraph about implementation or challenges.`,
    image: 'assets/your-project-image.webp',
    technologies: ['Tech 1', 'Tech 2', 'Tech 3', 'Tech 4', 'Tech 5'],
    features: [
        'Feature 1 description',
        'Feature 2 description',
        'Feature 3 description'
    ],
    metrics: [
        {
            value: '95%',
            label: 'Some Relevant Metric'
        },
        {
            value: '100+',
            label: 'Another Metric'
        }
    ],
    demoUrl: 'https://yourlivedenolink.com', // Optional
    sourceUrl: 'https://github.com/yourusername/your-project' // Optional
}
  1. Add your project image to the assets/ directory (use .webp format for best performance)

Customizing Content

  1. Personal Information: Update your name, title, and personal links in the index.html file
  2. Skills: Modify the skills section in index.html to reflect your technical abilities
  3. Social Links: Update the social media and contact links in the footer of both HTML files
  4. Schema Markup: Update the schema markup in the head of index.html with your information

Customizing Styles

  1. Colors: Main color variables are defined at the top of css/main.css:

    :root {
      --color-background: #121212;
      --color-text: #e0e0e0;
      --color-accent: #64ffda;
      --color-secondary: #ffffff;
      /* ... other variables ... */
    }
  2. Typography: Font families and sizes are also defined as CSS variables

  3. Spacing: Spacing variables ensure consistent layout throughout the site

License

This project is available under the MIT License. Feel free to use, modify, and distribute the code for personal or commercial projects.

Credits

  • Designed & Developed by Sebastian Ramirez
  • Fonts: Space Grotesk and Inter from Google Fonts

About

A modern, responsive portfolio website showcasing projects and skills, for data scientists, machine learning engineers, data analysts, or any professionals interested in showcasing their work to potential employers or clients.

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