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Hello World 👋, I'm Dhyey Mavani

DhyeyMavani2003

Welcome to my GitHub Profile! My personal website can be 👀 viewed at https://dhyeymavani.com

  • 🌱 I’m currently pursuing a Bachelor of Arts degree from Amherst College with majors in Computer Science, Mathematics (Honors), and Statistics (Honors) along with a concentration in Economics.
  • 🌱 I'm a AI/ML Software Engineer Intern at LinkedIn in the Sunnyvale, CA Headquarters for Summer 2024 on the Feed AI Relevance Infra team.
  • 🌱 I was a Software Development Engineer Intern at Amazon (AWS) in the Greater Seattle Area office for Summer 2023 on the AWS CloudFront team.
  • 🌱 I pursued a study abroad semester at AIt Budapest in Hungary, Europe during Spring 2024 with coursework in Computer Science and Engineering.
  • 🌱 I pursued Visiting Students Program at Columbia University in the City of New York during Spring 2023 with coursework in Graduate-level Mathematics and Statistics.
  • 💞️ I’m passionate about Quantitative Research and Software Development projects.
  • 📫 You can reach me at [email protected] OR [email protected] OR [email protected] OR [email protected]

Connect with me:

dhyey-mavani ddmavani2003

🛠  Tech Stack

Python  JavaScript  Java  R (Statistics)
React  Node.js  Flask  Bootstrap
HTML  CSS  Git  GitHub  Markdown
Visual Studio Code  RStudio  Eclipse\

Dhyey Mavani 's Projects

deepsentiment icon deepsentiment

This project aims to analyze sentiment in tweets data using Deep Learning models, specifically BERT. The process involves cleaning and preprocessing the tweets data, followed by fine-tuning the BERT model to improve sentiment prediction accuracy.

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

mammothedu.github.io icon mammothedu.github.io

Leveraging generative AI for increased curriculum flexibility in the educational sector

r-blocks icon r-blocks

This is the intermediate codebase of RBlocks project. The most recently deployed code is in a private repository owned by Amherst College, but the website is deployed for open use at https://sliao.people.amherst.edu/r-blocks/

riskfolio-lib icon riskfolio-lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

tidyblocks icon tidyblocks

A blocks-based interface for tidy data manipulation and analysis.

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