Computer Science Grad Student at Arizona State University
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Assessing your cultural and operational fit
ipfs-file-upload-brl
May 14, 2021 – May 25, 2021
ipfs-file-upload-brl — GitHub repository
View ProjectNLP_dataset_QA_expression
October 25, 2020 – October 25, 2020
NLP_dataset_QA_expression — GitHub repository
View ProjectCSE-471-Intro-to-Artificial-Intelligence
July 15, 2020 – July 15, 2020
CSE-471-Intro-to-Artificial-Intelligence — GitHub repository
View ProjectSnakes
November 5, 2019 – December 6, 2019
Open and closed snakes implementation for CSE 591
View ProjectbeautifulCode
February 11, 2016 – October 14, 2016
This repo contains the major project - 2, the semester registration portal
View Projectsisnew
February 7, 2016 – April 29, 2016
This is the totally revamped version of SIS, completely re-written in LARAVEL
View Projectaks-parallel
October 28, 2015 – June 28, 2016
This is parallel implementation of AKS algorithm in Intel
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of technologies and problem domains, from web development (PHP, JavaScript) to scientific computing (Matlab, C++) and AI/ML (Python, Scala). This breadth suggests adaptability and a willingness to explore different areas, which can be a positive for cultural fit in dynamic environments. However, the projects are primarily personal and academic, and without further context on collaboration or team dynamics, it's difficult to fully assess cultural fit. The target role is Data Scientist, and while there are relevant projects, the overall portfolio is quite broad rather than deeply specialized in data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.