MS CS at UCSD | NLP | Computer Vision
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CuneiML
September 1, 2023 – July 26, 2024
[JOHD 23] This repository hosts the code to get the artifects of Cuneiform in the paper CuneiML: A Cuneiform Dataset for Machine Learning.
View Projectcategory_deduplication
June 13, 2023 – June 14, 2023
category_deduplication — GitHub repository
View ProjectSkip-Thought-Vectors
October 18, 2019 – October 18, 2019
An unsupervised model for learning an encoding of high-quality sentence vectors
View ProjectSkip-Thought-Vectors
October 18, 2019 – October 18, 2019
Implementation of the research paper paper skip thought vectors.
View ProjectCompiler-Project
February 24, 2019 – February 24, 2020
Compiler written in C-language for course CS F363 at BITS Pilani
View ProjectGeoBurst
December 26, 2018 – December 26, 2018
Local time event detection using geo tagged tweets
View ProjectEarly-Prediction-of-Heart-Diseases
December 14, 2018 – December 15, 2018
studied and experimented on different classifiers for predicting the patient likely to have a heart disease. Classifiers such as ID3, CART and ensemble method Random Forest, were used to develop the prediction models on the dataset. I also used 10-fold cross validation methods to measure the unbiased estimate.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards academic and research-oriented data science tasks, which aligns well with roles requiring deep analytical thinking and experimentation. The diversity of projects, from compilers to geo-tagged tweet analysis, suggests intellectual curiosity. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.