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Deep Learning Engineer
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Cratus Technology
Data Scientist
June 27, 2026 – Present
interview-questions
June 22, 2018 – July 15, 2017
Questions which are frequently asked in an interview.
View ProjectnucleiSegmentation_Kaggle
February 13, 2018 – February 13, 2018
Spot Nuclei. Speed Cures.
View ProjectHashing
June 1, 2017 – June 1, 2017
This repo contains the concepts and algorithms used in the Hashing technique.
View ProjectSpeedEstimationDL
May 12, 2017 – May 12, 2017
Speed Estimation of the Car using NVIDIA self driving car model.
View Projectplanet-kaggle
May 4, 2017 – May 4, 2017
This repo contains the implementation of the Planet Amazon forest deep learning challenge on Kaggle
View ProjectLinkedList
April 23, 2017 – April 24, 2017
This Repo contains the implementation of the LinkedList in C++. In the following commits will add the function which are popular in the C++ interview.
View ProjectSimpleGradient_DescentScratch
February 9, 2017 – February 9, 2017
SimpleGradient_DescentScratch — GitHub repository
View ProjectAudioClassificationTensorflow
February 6, 2017 – February 6, 2017
AudioClassificationTensorflow — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards self-learning and exploring various data science and deep learning challenges. The 'interview-questions' project suggests a proactive approach to interview preparation. However, the projects are predominantly personal and lack collaborative or team-based elements, which might impact cultural fit in a team-oriented environment. The current role as 'Data Scientist' at Cratus Technology aligns with the target role, but the start date is in the future (2026), which is unusual and needs clarification.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.