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AI, Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A self-motivated, detail-oriented and a quick learner, who can absorb new ideas quickly and can communicate clearly and effectively.
Stony Brook University
Doctor of Philosophy - PhD, Computer Science
N/A – Present
University of Toronto
Master of Science - MS, Computer Science
N/A – Present
Sharif University of Technology
Bachelor of Science - BS, Computer Science
N/A – Present
Meta
Machine Learning Engineer
September 1, 2022 – Present
Apple
Staff Applied ML Scientist
December 1, 2018 – August 1, 2022
Accenture
AI Research Scientist
November 1, 2017 – October 1, 2018
San Francisco Bay Area
eBay
Software Engineer Intern
June 1, 2016 – August 1, 2016
San Jose
Cultural Fit Analysis
The candidate's experience is heavily skewed towards Machine Learning Engineering and Research Scientist roles, with a strong focus on NLP and Deep Learning. While these skills are valuable, the target role is 'Data Analyst'. This represents a significant mismatch in primary responsibilities and day-to-day tasks. The candidate's background is more aligned with advanced ML research and development rather than traditional data analysis, which typically involves more SQL, data visualization, and statistical analysis for business insights. This indicates a low cultural fit for a pure Data Analyst role.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond the technical descriptions of roles. The candidate's experience at large companies suggests an ability to operate within structured environments.