Arjun Ramesh Kaushik

Data Scientist

https://talent.gravityer.com/arjun-ramesh-kaushik

Trilogy | UC Irvine | JPMorgan

Key Strengths

Demonstrated interest and foundational experience in Data Science and Machine Learning through various personal projects.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to advanced ML concepts like Federated Learning, Variational Autoencoders, and CNNs.
Experience with Computer Vision tasks such as license plate detection and video captioning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards research-oriented and complex technical challenges, which could indicate a good fit for an innovative and problem-solving culture. However, the projects are predominantly personal, and there is limited information on collaborative work or team contributions. The single listed professional experience is current and has a future start date, providing no past performance data. The diversity of technologies used (Matlab, C++, JavaScript, Solidity) suggests adaptability, but also a potential lack of deep specialization in core Data Science tools beyond Python.

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

arjunrkaushik.github.io

November 22, 2025 – December 8, 2025

arjunrkaushik.github.io — GitHub repository

View Project

DenseVideoCaptioning

February 9, 2025 – February 20, 2025

DenseVideoCaptioning — GitHub repository

View Project

my-papers

July 5, 2024 – August 6, 2024

Notes of every research paper I have read

View Project

cnnBox

May 2, 2024 – June 12, 2024

cnnBox — GitHub repository

View Project

sports-video-captioning

February 6, 2024 – March 8, 2024

sports-video-captioning — GitHub repository

View Project

PolyProtect_HEAAN

September 4, 2023 – February 6, 2024

PolyProtect_HEAAN — GitHub repository

View Project

Mozart-Vision

August 26, 2023 – August 26, 2023

A Computer Vision system that uses CNNs to interpret sheet music and reproduce a written version of it in English.

View Project

Flockie

November 11, 2022 – February 4, 2023

Federated Learning with blockchain

View Project

License-Plate-Detector

May 21, 2022 – May 21, 2022

Convolutional Neural Network developed in MATLAB to detect the characters of a license plate in a moving/stationary vehicle

View Project

Federated_Learning

July 29, 2021 – July 29, 2021

Federated Variational Autoencoders implemented from scratch for biological cells

View Project

Key Strengths

Demonstrated interest and foundational experience in Data Science and Machine Learning through various personal projects.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to advanced ML concepts like Federated Learning, Variational Autoencoders, and CNNs.
Experience with Computer Vision tasks such as license plate detection and video captioning.

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.

Arjun Ramesh Kaushik

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit