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Assessing your cultural and operational fit
autoassist-exp
October 27, 2019 – October 3, 2022
Code accompanying the NeurIPS 2019 paper AutoAssist: A Framework to Accelerate Training of Deep Neural Networks.
View Projectspectral-RNN
March 20, 2018 – June 5, 2018
STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION
View ProjectSDS374C
January 22, 2016 – January 22, 2016
Parallel Computing for Science and Engineering
View ProjectConvexMotifFinding
December 31, 2015 – September 14, 2016
ConvexMotifFinding — GitHub repository
View Projectgoogletest
June 8, 2015 – June 8, 2015
Automatically exported from code.google.com/p/googletest
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on research and algorithm implementation. While demonstrating technical aptitude, there is limited evidence of collaborative team projects or diverse industry applications. The alignment with a typical industry Data Scientist role, which often involves cross-functional collaboration and business impact, is not strongly evident from the project descriptions alone. The candidate's experience level is 0, suggesting a junior profile, which may not align with senior-level expectations for cultural fit without further information.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.