- 1οΈβ£8οΈβ£ years old
- π¨βπ University Rising Sophomore
- π¨π»βπ» Looking for internships
- β‘ Interested in solving problems
- β½οΈ Enthusiast
- π΅οΈ Data Analysis
- π Data Visualization
- βοΈ Machine Learning
- π§ Deep learning
- π€ Natural Language Processing (NLP)
π Iβm currently working on implementing neurosymbolic AI in the real world to solve some of the world's most important problems (primarily the healthcare sector). I'm also looking into the practical uses of adversarial attacks and how they can be used to secure AI to prevent data breaches in the future.
𧨠Right now, I am looking into how adversarial attacks impact neural networks and creating a repository with some of the most common algorithms used to attack neural networks. I am mostly using a simple CNN and the MNIST dataset to understand them - Adversarial Attacks on Neural Networks
β½οΈ My latest project is to use statistics and generative AI to identify weaknesses and strengths in English Premier League Teams this season and then potentially look into players that could be transferred into these teams, as opposed to just looking at basic stats, looking into more specific and nuanced statistics - EPL Stats Analysis
Find my latest article about adversarial attacks here
π I'm documenting all of the machine learning algorithms and their application to solving problems in my repository - Machine Learning Algorithms
I'm also documenting all of the deep learning algorithms and their application to solving problems in my repository - Deep Learning Algorithms
I use Tableau for data visualization purposes. For a taste of my data visualization work, check out my Tableau public profile here
Check this notebook to learn about the different aspects of the English Premier League Transfers for the year 2019-2020 (Before COVID) here