Strongest:
- Data structures & Algorithms
- Front-End Development
- Machine Learning
- Mathematics
- Recreational Algorithms
- Competitive Programming
- Programming Languages: C++/C, Java, Python, MYSQL, JS
Familiar:
- Node.js, HTML/CSS, CS-Fundamentals, Git & GitHub, Linux, LaTex, ReactJs, NextJs, Jupyter Notebook
Learning:
- MongoDB
I'm a 4th-year undergraduate student at St. Thomas College of Engineering and Technology with a passion for Machine Learning and Deep Learning research. As a contributor to Kaggle, I've published a number of high-quality notebooks and competed in several data science competitions, honing my skills in various ML and DL frameworks.
In addition, I'm a competitive programmer with a robust track record of success on platforms like Codeforces and LeetCode. I enjoy tackling challenging algorithmic problems and have a deep understanding of data structures and algorithms.
I'm also an accomplished researcher with 4 published papers in Mathematics, Physics, and Data Structure and Algorithms. My research has focused on a variety of topics, including statistical modeling, quantum mechanics, and graph theory.
As an open-source contributor, I've made contributions to both ML and front-end technology projects, working with teams around the world to build high-quality, scalable software solutions.
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