
Undergraduate student at IIT Bombay (2021)
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Assessing your cultural and operational fit
Training-for-the-Future
October 26, 2021 – November 17, 2021
Official code release for the NeurIPS 2021 article Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time
View ProjectDiora_with_rules
February 2, 2021 – November 9, 2021
Code release for the paper Rule Augmented Unsupervised Constituency Parsing to appear in the Findings of ACL 2021
View ProjectData_Pgm_Subset_Slc
January 24, 2021 – July 21, 2021
Data Programming and Subset Selection
View Projectfasth
June 30, 2020 – July 25, 2024
Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
View ProjectExplainable-Latent-Structures-Using-Attention
June 16, 2020 – April 13, 2021
Explainable-Latent-Structures-Using-Attention — GitHub repository
View Projectnormalizing-flows
March 10, 2020 – December 8, 2022
Use train.py with --model for either realnvp, glow, iresnet or flow++.
View ProjectRegression_Analysis
February 12, 2020 – February 12, 2020
Lab Assignments for SI-422 Regression Analysis
View ProjectStyleTransferAudio
November 24, 2019 – November 27, 2019
Convert the genre of a piece of music.
View ProjectCogCNN
October 14, 2019 – October 28, 2020
Code release for the paper Cognitive CNN: Mimicking Human Cognition to resolve shape texture bias from ICLRW-2020
View ProjectImprovedFlowNetworks
June 7, 2019 – July 19, 2019
Some tricks to improve normalizing flows
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on academic and research-oriented machine learning, primarily in Python. While this aligns with the technical demands of a Data Scientist role, the lack of diverse project types (e.g., production systems, business intelligence, data engineering) and team-based projects makes it difficult to assess broader cultural fit or adaptability to different work environments. The projects are all personal, which limits insight into collaborative work styles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a strong technical focus, but collaboration, communication, and problem-solving approaches are not detailed.