I am a PhD graduate in Physics from the University of Cambridge. I am passionate about pushing the boundaries of technology and exploring the intersection of physics and AI.
I am proud to be recognized as a pioneer in hardware for AI, as highlighted in this publication: Nature Article.
The repositories presented on my GitHub are the result of my work at the University of Cambridge, TU Wien, and a Data Science Bootcamp at HyperionDev, and also my personal projects reflecting my interest in algorithmic thinking.
Here are some of the noteworthy projects you'll find in my repositories:
- ML Linear Regression: Model predicting insurance charges based on the user's age, taking into account smoking and BMI (used: Jupyter Notebook, Scikit-learn, Pandas, Seaborn, Matplotlib).
- Review Sentiment Analysis Model: Model performing sentiment analysis and exploring text pre-processing techniques on product reviews (used: SpyCy, Pandas).
- Movie Recommendation System: A movie recommendation system based on word vector similarity: inputs a movie description and returns the most similar movie title (used: SpyCy).
Feel free to explore and reach out if you have any questions or collaboration opportunities!
- LinkedIn: Your LinkedIn Profile
- Email: jks68@cam.ac.uk
Thank you for visiting my GitHub profile! I'm excited to share my projects and insights with you. Don't hesitate to connect or reach out—I'm always open to new opportunities and collaborations.
