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Digital CV & Portfolio

Welcome to the Digital CV & Portfolio project, built using Streamlit!

This project serves as a dynamic and interactive online platform to showcase your professional journey, skills, certifications, and projects. With the power of Streamlit, you can create an engaging digital portfolio that offers visitors an insightful glimpse into your background and accomplishments.

Features

  • About Me: Provide a brief introduction about yourself, highlighting your strengths, aspirations, and professional goals.

  • Skills: Showcase your technical skills, from programming languages to data visualization tools and databases.

  • Work Experience: Detail your work history, including roles, responsibilities, and key achievements in each position.

  • Certifications: Display your certifications and accomplishments, along with links to the certificates for validation.

  • Projects: Highlight your projects and accomplishments, including GitHub repository links for further exploration.

  • Contact: Provide a way for visitors to connect with you, whether through LinkedIn, email, or other preferred communication channels.

How to Use

  1. Clone the repository to your local machine.

  2. Install the required dependencies using the command pip install -r requirements.txt.

  3. Customize the content in the Streamlit app's script (app.py) to match your details and projects.

  4. Add your profile picture and other assets to the assets directory.

  5. Run the Streamlit app using the command streamlit run app.py.

  6. The app will open in your browser, showcasing your digital CV and portfolio.

Customize

Feel free to customize the content, style, and structure of the Streamlit app according to your preferences. Update the Markdown content, modify the layout, and include additional sections that highlight your unique strengths and experiences.

Contact

Connect with me on LinkedIn or reach out via email at [email protected].


This Digital CV & Portfolio is powered by Streamlit, a Python web app framework for data applications.

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