Raghav Chakravarthy

Data Scientist

https://talent.gravityer.com/raghav-chakravarthy

I am an enthusiastic third-year Honors student at University of Maryland: College Park. I am passionate about AI/ML & Open-source programming/contributions

Ellicott City, Moldova

Key Strengths

Demonstrated interest in data science and AI-related projects through personal repositories like 'NobelPrize', 'car_price_prediction', and 'MindMirror'.
Experience with Jupyter Notebook, Python, and JavaScript, which are foundational for data science roles.
Projects like 'worldmodeling' and 'MindMirror' show an ability to work on complex, multi-technology applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects demonstrate a strong inclination towards exploring various technical domains, including data analysis, AI, and web development. This diversity suggests adaptability and a proactive learning attitude, which can contribute positively to a dynamic team environment. The focus on personal projects indicates self-motivation and initiative, aligning well with a culture that values independent problem-solving.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

worldmodeling

May 4, 2026 – Present

Interactive 3D scene reconstruction and benchmarking platform — converts photo collections into walkable 3D scenes viewable in any browser, with a controlled empirical comparison of three state-of-the-art Gaussian splatting implementations.

View Project

CMSC471-MoCollisions

May 3, 2026 – Present

CMSC471-MoCollisions — GitHub repository

View Project

arlo

April 24, 2026 – Present

Talk naturally with specialized AI agents in a calm, minimal video-call style room.

View Project

MindMirror

April 11, 2026 – Present

A two-part cognitive analysis engine. Upload your Claude or ChatGPT export. We'll show you your blind spots, dependencies, and cognitive edge. Your brain, visualized.

View Project

white-hat-black-hat-visualizations

April 9, 2026 – Present

white-hat-black-hat-visualizations — GitHub repository

View Project

meta-hackathon

March 20, 2026 – Present

meta-hackathon — GitHub repository

View Project

CMSC471-Assignment1

March 4, 2026 – Present

CMSC471-Assignment1 — GitHub repository

View Project

498K-Final-Project

October 28, 2025 – December 8, 2025

498K-Final-Project — GitHub repository

View Project

car_price_prediction

June 6, 2024 – July 8, 2024

car_price_prediction — GitHub repository

View Project

NobelPrize

November 20, 2021 – January 25, 2022

This repository contains the code used for the analysis of the Nobel Prize Nomination Archive

View Project

Key Strengths

Demonstrated interest in data science and AI-related projects through personal repositories like 'NobelPrize', 'car_price_prediction', and 'MindMirror'.
Experience with Jupyter Notebook, Python, and JavaScript, which are foundational for data science roles.
Projects like 'worldmodeling' and 'MindMirror' show an ability to work on complex, multi-technology applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Raghav Chakravarthy

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit