Lead Engineer at Samsung R&D Institute, Bengaluru, India
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Assessing your cultural and operational fit
Indian Institute of Technology Guwahati
Data Scientist
June 19, 2026 – Present
sandipan211.github.io
March 16, 2025 – March 16, 2025
sandipan211.github.io — GitHub repository
View ProjectLoCATe-GAT
October 22, 2024 – April 27, 2025
Official PyTorch implementation of the IEEE TETCI 2024 paper LoCATe-GAT
View ProjectZSUGR
March 28, 2024 – January 25, 2025
The first work on zero-shot underwater gesture recognition (ICPR 2024)
View ProjectZSHOI-VLT
January 17, 2024 – September 23, 2024
A one-stage DETR-based network for zero-shot HOI detection (ICASSP 2024)
View ProjectLoCATe-GAT
May 15, 2023 – May 16, 2023
Modeling Local Context & Action Relationships for Zero-Shot Action Recognition
View ProjectZSD-SC-Resolver
October 2, 2022 – March 7, 2024
Resolving semantic confusions for improved zero-shot detection (BMVC 2022)
View ProjectCoding-assignments
February 22, 2019 – March 15, 2025
Coding assignments done during B.Tech (2015-2019) at IIEST, Shibpur, and during Ph.D. at IIT Guwahati (2019-present)
View ProjectDocument-categorization-using-graph-structuring
May 17, 2018 – June 27, 2018
Proposing a new method for document categorization
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily concentrated on academic research and personal coding assignments, primarily in computer vision and machine learning. While this demonstrates deep technical expertise in a specific domain, the lack of diverse project types (e.g., industry applications, team-based product development, open-source contributions beyond personal repos) makes it difficult to fully assess cultural fit for a broader industry role. The single listed 'Data Scientist' role at an academic institution further reinforces a research-oriented profile. The experience level is listed as 0, which contradicts the PhD and publications, suggesting a potential data entry error or a very early career stage despite advanced academic work.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The candidate's project descriptions are concise and technically focused, but do not offer insights into collaboration, problem-solving approach, or communication style beyond technical output.