README.md

Portfolio

My personal portfolio website showcasing physics projects, data science work, and analytical skills.

Live site: https://ConstantlyTrying989.github.io

About

First-year physics student passionate about data science and statistical analysis. This portfolio highlights projects that combine fundamental physics with modern data analysis techniques, machine learning, and statistical methods.

Features

• Clean, modern design - Dark theme with responsive layout
• Project showcase - Highlight your best work with descriptions, tech stack, and links
• Skills section - Organised by category (Languages, Data Science, Tools, etc.)
• Fully responsive - Works on desktop, tablet, and mobile
• Fast & lightweight - Pure HTML/CSS, no external dependencies
• Easy to customise - Simple HTML structure, easy to edit

How to Use This Portfolio

View Online

Simply visit: https://ConstantlyTrying989.github.io

File Structure

ConstantlyTrying989.github.io/
├── index.html          # Main portfolio page
├── README.md          # This file
└── LICENSE            # License file

Customisation Tips

Colors

The colour scheme uses CSS variables. To change colours, find the :root section in the <style> tag:

:root {
    --primary: #0f172a;
    --accent: #0ea5e9;
    --text: #e2e8f0;
}

Fonts

Uses Google Fonts (Merriweather for body, JetBrains Mono for code). Change in the <link> tag if desired.

Add More Projects

Copy and paste the entire <div class="project-card"> block and edit the content.

Change Theme

All styling is in the <style> section. Modify CSS variables and properties to customise appearance.

Technologies Used

• HTML5 - Semantic markup
• CSS3 - Flexbox, Grid, animations, gradients
• Google Fonts - Merriweather & JetBrains Mono
• Hosted on - GitHub Pages (free, built-in to GitHub)

Tips for Content

Project Descriptions

Write clear, concise descriptions that answer:

• What did you build?
• Why did you build it?
• What was the result/outcome?

✅ Good: "Built a Python ML model to classify iris flowers using scikit-learn, achieving 96% accuracy with cross-validation"
❌ Poor: "Did a machine learning project"

Tech Tags

List the actual tools and languages you used:

• Python, R, JavaScript
• Pandas, NumPy, SciPy
• Machine Learning, Statistics, Data Visualisation
• Git, GitHub, Jupyter

How to Host on GitHub Pages

1. Create a GitHub account at https://github.com
2. Create a new repository named: yourusername.github.io
3. Upload this index.html file
4. Your site is live at: https://yourusername.github.io

That's it! No server costs, no hosting fees. Completely free.

Updating Your Site

1. Edit index.html locally
2. Commit and push to your GitHub repo (or upload the updated file via GitHub's web interface)
3. Changes go live in 1-2 minutes

Browser Support

Works on all modern browsers:

• Chrome/Edge
• Firefox
• Safari
• Mobile browsers

License

This project is licensed under the MIT License - see the LICENSE file for details.

You are free to use this template for your portfolio. Attribution is appreciated but not required.

Questions or Issues?

• Check the HTML comments in index.html for help
• Edit the content between the HTML tags
• Save, commit, and refresh your GitHub Pages site

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Built with HTML & CSS. Hosted on GitHub Pages.

Good luck with your portfolio! 🚀