Raghav Raahul Manoharan Jayanthi's Profile

Hi I'm Raghav. This is a bit about me.

Education:
- Master of Business Analytics candidate at Massachusetts Institute of Technology, graduating in August 2024
- Bachelor’s degree in Biomedical Engineering with Highest Honors from Georgia Institute of Technology (May 2023)
Current Positions:
- Graduate Research Assistant at MIT
- Capstone Project with Cigna
Research Focus:
- Applying machine learning for understanding kidney transplant patient donor matching decisions
Supervisor: Professor Swati Gupta

👨🏻‍💻 I’m currently working on various Machine Learning projects, with my capstone project on MIT in collaboration with Cigna focused on developing a optimal treatment recommendation system for patients diganosed with depression.

My email is [email protected]. You can also connect with me on LinkedIn!

Here are some of my recent achievements that I am happy to share:

Sherlock Picasso: Won 2nd place ⭐ and a prize of $3000 at the Google x MIT Sloan Product Hackathon (developed a marketing tool for small medium businesses)
MIT Analytics Lab: Won 3rd place ⭐ at the MIT Initiative on the Digital Economy’s Analytics Lab Event (developed an AI Email Assistant in collaboration with CMA CGM)
AI Earth Hackathon: Ranked Top 15% ⭐ in the AI Earth Hackathon organized by the Digital Data Design (D3) Institute at Harvard University

Raghav Raahul Manoharan Jayanthi's Projects

ai-earth-hackathon

By combining innovative LLMs and NLP, this tool enhances evaluations, guiding decisions on the effectiveness and viability of diverse solutions in the context of circular economy-related problems.

credit-card-fraud-detection

Credit Card Fraud Detection to improve credibility of financial systems and financial wellbeing of customers

data-science-interview-questions-answers

Curated list of data science interview questions and answers

diabetes-classification

Predictive tools to identify whether candidates have diabetes or not

mall-customer-segmentation

Segmenting mall customers using KMeans Clustering for more personalized marketing and loyalty program development

momentum-based-stock-investment-strategy

Using unsupervised learning (clustering), technical indicators (ex: RSI), to design momentum based strategy for each month (invest in stocks that performed best last month)

movie-recommendation-system

Demo: https://www.youtube.com/watch?v=kYPY2yMo_5E&t=11s Your Favorite Movie Recommender System -> give it a movie you like and it will recommend 5 movies to watch based on your interests in less than a second. Interactive tool was built on Streamlit and tool was deployed on Docker.