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A modern, responsive portfolio website highlighting expertise in Data Science, Machine Learning, and research achievements. Features smooth animations, interactive navigation, publication filtering, and a clean professional design. Optimized for performance, accessibility, and mobile devices, and deployed with GitHub Pages.

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Soroush Taheri - Data Scientist & ML Engineer Portfolio

A modern, professional portfolio website showcasing expertise in Data Science, Machine Learning, and research achievements. Built with a focus on clean design, smooth animations, and comprehensive professional presentation.

πŸš€ Live Demo

Visit the live portfolio: https://soroush-thr.github.io

πŸ“‹ Features

  • Professional Design: Modern, clean interface with sophisticated color scheme and typography
  • Responsive Layout: Fully optimized for desktop, tablet, and mobile devices
  • Interactive Elements: Smooth scroll animations, publication filtering, and dynamic navigation
  • Comprehensive Showcase: Research publications, professional experience, and technical achievements
  • Performance Optimized: Fast loading with optimized animations and efficient code
  • Accessibility: Keyboard navigation, semantic HTML, and screen reader friendly
  • Contact Integration: Direct links to professional profiles and contact information

πŸ› οΈ Technologies Used

  • HTML5: Semantic markup with proper accessibility features
  • CSS3: Advanced styling with CSS Grid, Flexbox, custom properties, and smooth animations
  • JavaScript (ES6+): Interactive functionality, scroll effects, and form handling
  • Font Awesome 6.0: Professional icon library
  • Google Fonts: Inter font family for modern, readable typography
  • GitHub Pages: Free hosting and automatic deployment

πŸ“ Project Structure

portfolio/
β”œβ”€β”€ index.html          # Main HTML file with complete portfolio structure
β”œβ”€β”€ styles.css          # Comprehensive CSS with modern design system
β”œβ”€β”€ script.js           # JavaScript functionality and interactions
β”œβ”€β”€ README.md           # Project documentation
└── images/             # Portfolio images and assets
    └── personal.jpg    # Professional profile photo

🎯 Portfolio Sections

  1. Hero Section: Professional introduction with key statistics and expertise tags
  2. About Me: Personal summary and professional highlights
  3. Publications: Research papers with filtering (Journal Articles, Conference Papers)
  4. Professional Experience: Timeline of industry and research positions
  5. Key Achievements: Quantified impact and technical accomplishments
  6. Education: Academic background with relevant coursework
  7. Certifications: Professional certifications and credentials
  8. Contact: Professional contact information and social links

πŸš€ Getting Started

Prerequisites

  • A modern web browser
  • GitHub account (for hosting)

Installation

  1. Clone the repository:

    git clone https://github.com/soroush-thr/soroush-thr.github.io.git
  2. Navigate to the project directory:

    cd soroush-thr.github.io
  3. Open index.html in your web browser or serve locally:

    # Using Python
    python -m http.server 8000
    
    # Using Node.js
    npx serve .
    
    # Using PHP
    php -S localhost:8000

🌐 GitHub Pages Deployment

This portfolio is automatically deployed using GitHub Pages:

  1. Repository name must be username.github.io (where username is your GitHub username)
  2. Push your code to the main branch
  3. Go to repository Settings > Pages
  4. Select "Deploy from a branch" and choose main
  5. Your site will be available at https://username.github.io

πŸ“± Responsive Design

The portfolio is fully responsive and optimized for:

  • Desktop: 1200px+ (Full layout with side-by-side content)
  • Tablet: 768px - 1199px (Adjusted grid layouts and spacing)
  • Mobile: 320px - 767px (Single column layout with optimized navigation)

🎨 Design System

Color Palette

:root {
    --primary-color: #000080;      /* Navy Blue */
    --secondary-color: #4169E1;    /* Royal Blue */
    --accent-color: #1E90FF;       /* Dodger Blue */
    --text-primary: #2c3e50;       /* Dark Gray */
    --text-secondary: #7f8c8d;     /* Medium Gray */
    --background-primary: #ffffff;  /* White */
    --background-secondary: #f8f9fa; /* Light Gray */
}

Typography

  • Primary Font: Inter (Google Fonts)
  • Font Weights: 300, 400, 500, 600, 700
  • Responsive Sizing: Fluid typography with clamp() functions

Components

  • Cards: Rounded corners with subtle shadows and hover effects
  • Buttons: Gradient backgrounds with smooth transitions
  • Navigation: Fixed header with backdrop blur and smooth scrolling
  • Timeline: Visual timeline with animated markers and content cards

🎨 Customization

Personal Information

  • Update content in index.html sections
  • Modify professional experience and achievements
  • Add or remove publications and certifications
  • Update contact information and social links

Visual Styling

  • Modify CSS custom properties in styles.css
  • Adjust color scheme and typography
  • Customize animations and transitions
  • Update spacing and layout parameters

Functionality

  • Enhance JavaScript interactions in script.js
  • Add new features like dark mode or additional filters
  • Implement contact form with EmailJS integration
  • Add analytics tracking

πŸ“Š Performance Features

  • Optimized Loading: Minimal JavaScript and efficient CSS
  • Smooth Animations: Hardware-accelerated CSS transitions
  • Lazy Loading: Images load as needed for better performance
  • Mobile-First: Responsive design with mobile optimization
  • Accessibility: Semantic HTML and keyboard navigation support

πŸ”§ Browser Support

  • Chrome: 90+ (Full support)
  • Firefox: 88+ (Full support)
  • Safari: 14+ (Full support)
  • Edge: 90+ (Full support)
  • Mobile Browsers: iOS Safari, Chrome Mobile, Samsung Internet

πŸ“Š Key Features & Achievements

Professional Highlights

  • 7+ Years Experience in Data Science and Machine Learning
  • 4 Peer-Reviewed Publications in high-impact journals including Scientometrics
  • 25% RMSE Improvement in predictive analytics models
  • 7% Cost Reduction achieved through energy forecasting systems
  • 99.8% System Uptime for production ML pipelines
  • 18% Accuracy Boost in NLP topic relationship detection

Technical Expertise

  • Machine Learning: Deep Learning, Neural Networks, LSTM, BERT
  • Computer Vision: CNNs, Transfer Learning, 3D Image Analysis
  • NLP: BERT-based embeddings, Topic Modeling, Sentiment Analysis
  • Data Science: Predictive Analytics, Time Series, Statistical Modeling
  • Cloud & MLOps: AWS, Scalable Pipelines, Production Deployment
  • Programming: Python, R, SQL, JavaScript, HTML/CSS

πŸ“„ License

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

πŸ“ž Contact

Soroush Taheri Data Scientist & ML Engineer

πŸ™ Acknowledgments

  • Design Inspiration: Modern portfolio templates and professional web design trends
  • Icons: Font Awesome 6.0 for comprehensive icon library
  • Typography: Google Fonts (Inter) for modern, readable typography
  • Hosting: GitHub Pages for reliable, free hosting
  • Responsive Design: Modern CSS Grid and Flexbox techniques
  • Performance: Optimized animations and efficient code practices

πŸ”„ Recent Updates

  • βœ… Professional Design System: Implemented comprehensive CSS variables and modern styling
  • βœ… Enhanced Responsiveness: Optimized for all device sizes with mobile-first approach
  • βœ… Interactive Features: Added smooth animations, scroll effects, and dynamic navigation
  • βœ… Content Organization: Structured sections for publications, experience, and achievements
  • βœ… Performance Optimization: Fast loading with efficient code and optimized assets

Built with ❀️ by Soroush Taheri Last Updated: September 2025

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A modern, responsive portfolio website highlighting expertise in Data Science, Machine Learning, and research achievements. Features smooth animations, interactive navigation, publication filtering, and a clean professional design. Optimized for performance, accessibility, and mobile devices, and deployed with GitHub Pages.

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