Shivanshu Gupta

Data Scientist

https://www.opentalent.in/shivanshu-gupta-4

NLP and AI Researcher | PhD, UC Irvine

Adobe

Key Strengths

Strong foundational knowledge in Machine Learning and Deep Learning architectures (CNN, LSTM, RNN, Attention Networks, DQN).
Practical experience with Python and PyTorch for implementing various ML/DL models.
Demonstrated ability to work on complex, research-oriented projects (VQA, POS Tagger, HAN, AlexNet, Double DQN).
Exposure to parallel computing (OpenMP) and low-level systems (OS, Assembly, C++) indicates a broad technical aptitude.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and research-oriented, showcasing strong individual initiative and a deep interest in advanced ML/DL topics. However, the lack of team-based projects or professional experience (other than a future role) makes it difficult to assess cultural fit, especially regarding collaboration and adaptability within a corporate environment. The projects align well with a research-heavy Data Scientist role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise and technically focused, but there is no information regarding collaboration, problem-solving approaches, or communication style in a team setting.

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

icl-coverage

August 8, 2023 – March 5, 2024

icl-coverage — GitHub repository

View Project

web-scrapers

April 17, 2018 – October 24, 2024

A repository of my web-scraping projects

View Project

hierarchical-attention-network

March 17, 2018 – April 12, 2018

Hierarchical Attention Network for Sentiment Analysis

View Project

Pytorch-Double-DQN

November 15, 2017 – November 18, 2017

Pytorch Implementation of Double DQN Algorithm

View Project

Visual-Question-Answering

October 24, 2017 – January 19, 2020

CNN+LSTM, Attention based, and MUTAN-based models for Visual Question Answering

View Project

Pytorch-POS-Tagger

October 24, 2017 – October 22, 2018

Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN

View Project

AlexNet-Experiments

October 6, 2017 – January 16, 2018

Experiments with AlexNet architecture for Image Classification

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uci-statnlp

December 29, 2016 – June 4, 2023

Code for the StatNLP course homework.

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Parallel-Sudoku-Solver

September 22, 2016 – November 17, 2020

Fast Parallel Sudoku Solver implemented using OpenMP

View Project

JOS-on-ARM

April 23, 2016 – May 11, 2016

OS Project - JOS with exokernel features on ARM

View Project

Key Strengths

Strong foundational knowledge in Machine Learning and Deep Learning architectures (CNN, LSTM, RNN, Attention Networks, DQN).
Practical experience with Python and PyTorch for implementing various ML/DL models.
Demonstrated ability to work on complex, research-oriented projects (VQA, POS Tagger, HAN, AlexNet, Double DQN).
Exposure to parallel computing (OpenMP) and low-level systems (OS, Assembly, C++) indicates a broad technical aptitude.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Shivanshu Gupta

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit