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Data Engineer
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AbductiveReasonerARC
April 12, 2020 – Present
An Attempt to solve Abstraction and Reasoning Corpus Tasks with Machine Reasoning.
View Projectpredictive-maintenance
September 26, 2019 – March 24, 2023
Time to failure (TTF) using Weibull distribution and recurrent neural networks in Keras.
View ProjectCarND-Unscented-Kalman-Filter-Project
November 30, 2017 – November 30, 2017
Constant Turn Rate and Velocity Magnitude Model (CTRV) implementation using the Unscented Kalman Filter.
View Projectfast-ai-assignments
October 4, 2017 – March 18, 2018
Solutions to the assignments of fast.ai.
View ProjectCarND-Vehicle-Detection
September 3, 2017 – November 22, 2017
Detecting vehicles using hog features and support vector machines.
View ProjectCarND-German-Traffic-Sign-Classifier-Project
August 20, 2017 – August 28, 2017
Classifying the German traffic signs implementing deep convolutional neural network architectures with the Tensorflow framework.
View ProjectCarND-Advanced-Lane-Lines
August 2, 2017 – September 2, 2017
Detecting lane lines while being robust to curvatures, image distortions, shadows and color changes of the pavement.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a strong drive for self-learning and exploration in data science. However, the lack of team-based or collaborative projects makes it difficult to assess cultural fit in a professional team environment. The projects align well with a Data Scientist role, showing initiative in relevant areas.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.