Data Science professional, Pursuing Ph.D. in computer science from IIT Delhi.
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mintt
April 13, 2025 – December 16, 2025
Artefacts related to the SIGIR 2025 paper "MINTT: Memory Inductive Transfer for Temporal Graph Neural Networks"
View Projectrobust-tgnn
November 19, 2023 – November 19, 2023
Repository for artefacts associated with CODS-COMAD 2024 paper on Robust Training of TGNNs.
View Projectshubhamguptaiitd.github.io
December 16, 2021 – December 23, 2021
shubhamguptaiitd.github.io — GitHub repository
View Projecttigger
December 12, 2021 – November 17, 2023
Code and datasets of AAAI'22 paper "TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs" . To be appear in AAAI-2022
View Projectfsg
June 25, 2020 – October 28, 2021
C++ (Boost) implementation of Subgraph retrieval from given set of graphs
View ProjectGHS_Algorithm
June 25, 2020 – March 1, 2021
Python implementation of distributed GHS algorithm
View Projectbitcoin
June 4, 2020 – August 26, 2020
Bitcoin - a distributed consensus-based payment ledger
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on academic research and personal projects related to graph neural networks and generative models. This aligns well with a research-intensive Data Scientist role. The diversity of projects within this niche demonstrates a strong passion for the field. However, without information on team projects or professional experience, assessing broader cultural fit beyond technical alignment is challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technical, but do not provide insight into collaboration, problem-solving approaches, or communication style in a team setting.