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Machine Learning Engineer at Apple
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CV
ETH Zürich
Master’s Degree, Computer Science
January 1, 2015 – January 1, 2017
NIT WARANGAL
Bachelor of Technology (B.Tech.), Computer Science
January 1, 2010 – January 1, 2014
Apple
Machine Learning Engineer
May 1, 2023 – Present
Apple
Machine Learning Engineer
January 1, 2019 – May 1, 2023
Fashwell (We're hiring!)
Machine Learning Engineer
February 1, 2018 – December 1, 2018
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Disney Research
Research Intern
February 1, 2016 – August 1, 2016
Zurich, Switzerland
ETH Zurich
Graduate Student
September 1, 2015 – September 1, 2017
Zurich, Switzerland
Qualcomm
Associate Engineer
June 1, 2014 – August 1, 2015
Greater Hyderabad Area
Cultural Fit Analysis
The candidate's experience is heavily concentrated in Machine Learning Engineering and research. While this demonstrates strong technical capabilities, the target role is 'Data Analyst'. This represents a significant pivot, and the current resume does not provide direct evidence of experience in core data analysis tasks, business intelligence, or specific data visualization tools often required for a Data Analyst role. This lack of direct alignment with the target role suggests a lower cultural fit for a typical Data Analyst position without further evidence of transferable skills or interest.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, which does not allow for evaluation of logical reasoning, work attitude, stress handling, or team collaboration.