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Applied scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
• In-depth knowledge of machine learning, deep learning. • Algorithms & software development and research experience both in industry and academia. • Developed state-of-the-art algorithms that utilize machine\deep learning techniques. • Hands on experience in Deep Learning, Computer Vision, Natural Language Processing and Speech Processing research, working with large datasets and various data types such as text, images, videos and audio.
Tel Aviv University
Master’s Degree, Electrical and Electronics Engineering
January 1, 2013 – January 1, 2016
Tel Aviv University
Bachelor's Degree, Electrical and Electronics Engineering
January 1, 2006 – January 1, 2010
Amazon
Applied Scientist
August 1, 2017 – Present
AI Research Intern
April 1, 2017 – August 1, 2017
Tel Aviv University
Deep Learning Researcher
February 1, 2016 – April 1, 2017
Cultural Fit Analysis
The candidate's experience is heavily skewed towards AI/ML research and applied science, which is not a direct match for a Data Analyst role. While analytical skills are transferable, the specific focus on deep learning and computer vision may indicate a preference for more research-intensive or model-building roles rather than pure data analysis. The lack of explicit data analysis projects or roles suggests a potential mismatch in day-to-day responsibilities and cultural expectations for a Data Analyst position.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond the stated roles. The candidate's experience in research and applied science suggests a capacity for problem-solving and analytical thinking.