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ML Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine-Learning-with-Spark
October 13, 2018 – December 11, 2018
Machine-Learning-with-Spark — GitHub repository
View ProjectIntroToApacheGiraph
September 24, 2018 – September 24, 2018
IntroToApacheGiraph — GitHub repository
View ProjectLinearAlgebraWithOctave
May 19, 2018 – May 22, 2018
LinearAlgebraWithOctave — GitHub repository
View ProjectIntroduction-to-Scala
May 1, 2018 – August 3, 2018
Introduction-to-Scala — GitHub repository
View ProjectBitwise-Algorithms
February 7, 2018 – June 2, 2018
Bitwise-Algorithms — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show a breadth of interest in various technologies and domains, including machine learning, web development, and algorithms. This indicates a potential for curiosity and continuous learning, which can be a positive cultural fit. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and work style.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.