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Assessing your cultural and operational fit
robust_face_recognition
December 16, 2020 – January 19, 2021
robust_face_recognition — GitHub repository
View Project281a-final-project
December 9, 2020 – December 19, 2020
281a-final-project — GitHub repository
View Projectmdd_mri
August 6, 2020 – August 11, 2020
This is the public GitHub repository for ISMRM 2020 Conference submission 3585, Untrained Modified Deep Decoder for Joint Denoising and Parallel Imaging Reconstruction
View ProjectGAN_inpainting_project
April 11, 2019 – July 22, 2019
Final Project for EE 225B - a generative adversarial inpainting algorithm to hide select objects
View ProjectDXM
February 6, 2017 – February 6, 2017
Code written for the Robotics@Berkeley competition Dorm Ex Machina
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a strong interest in self-directed learning and exploration. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit within a corporate environment. The project diversity shows a breadth of technical interests, but alignment with a specific 'Data Scientist' role is moderate, leaning heavily on academic ML projects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.