Sharat Agarwal
Data ScientistPhD@IIIT-D
Delhi, IndiaMember since June 16, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PhD@IIIT-D
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CVLab_MMSegmentation
December 2, 2023 – December 7, 2023
A guide to use MMSegmentation to develop and benchmark different models on custom dataset.
View Projectcontextual_class
October 12, 2022 – January 4, 2023
Reducing Annotation Cost by Labeling Contextually Diverse Classes WACV2023
View Projectcontextual-bias
October 5, 2021 – March 31, 2022
Code for the paper "Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias" accepted in WACV2022
View ProjectNetworkQuantization-21
September 16, 2021 – December 9, 2021
NetworkQuantization-21 — GitHub repository
View ProjectAudioVisualRetrieval-21
September 16, 2021 – July 13, 2023
AudioVisualRetrieval-21 — GitHub repository
View ProjectSpeciesDetection-21
September 16, 2021 – November 11, 2021
SpeciesDetection-21 — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily research-oriented and academic, focusing on areas like bias reduction, contextual classification, and species detection. This aligns well with roles requiring strong analytical skills and a research mindset. However, the lack of team-based or industry-specific projects makes it difficult to fully assess cultural fit in a collaborative, product-driven environment. The projects are diverse within the ML/Data Science domain, but lack breadth in other software engineering aspects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback are available.