π Mukesh Kumar β Portfolio
Welcome to the official repository of my personal portfolio website. This site showcases my work as a Data Analyst, Data Scientist, and BI Developer, along with my experience, skills, and featured projects.
π Sections Included
Your portfolio includes the following main sections (exactly as seen in screenshots):
Name, headline, description
Buttons: Hire Me, Download Resume
Profile image
Intro paragraph
Experience, education, interests
Statistics (Projects, Experience, Technologies, Tools)
A detailed card for:
Product-Based Startup β (Current) Role: Data Analyst / BI Developer Tools: SQL, Python, Power BI, DAX, ETL, Excel
Includes timeline view
Card-based layout featuring:
Random Forest Loan Approval Project
Sales Analytics Project (Power BI)
Other ML & Analytics projects (as per screenshots) Each card contains:
Thumbnail
Description
βView Projectβ button
Categorized skills section:
Programming β Python, SQL
Data & ML β Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
Business Intelligence β Power BI, DAX, Data Modelling
Tools & Platforms β Git, GitHub, VS Code, Jupyter
Cloud (optional) β Azure basics
Icons for each skill (as seen in screenshots)
Email form
Social media links
Footer credits
π οΈ Tech Stack
Your portfolio is built using:
Frontend
React.js
JavaScript (ES6+)
Styled Components
HTML5 + CSS3
React Router
Build & Deployment
Netlify (Live Deployment)
GitHub (Source Code)
Other Tools
VS Code
Git
gh-pages (optional, if using GitHub Pages)
π Getting Started (Run Locally)
git clone https://github.com/Mukesh017/Mukesh017.github.io.git
cd portfolio
npm install
npm start
Open in browser:
http://localhost:3000
After installing and running the project locally, you can navigate through the different sections of the portfolio using the navigation menu. Explore the About Me section to learn more about my background and skills. Visit the Projects section to see detailed information about my projects, including descriptions and screenshots. Use the Contact section to send me a message or inquiry.
Contributions are welcome! If youβd like to contribute to My Portfolio, please follow these steps:
git checkout -b my-featuregit commit -m 'Add some feature'git push origin my-featureThis project is licensed under the MIT License.