Deep Learning Scientist at Geomagical Labs
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Carnegie Mellon University
Master's in Computer Vision, Computer Vision
January 1, 2016 – January 1, 2017
Penn State University
Bachelor of Science (B.S.), Electrical Engineering
January 1, 2012 – January 1, 2016
Nano
Developer
January 1, 2018 – January 1, 2019
Geomagical Labs
Deep Learning Scientist
January 1, 2018 – Present
Mountain View, California
Geomagical Labs
Deep Learning R&D Intern
May 1, 2017 – August 1, 2017
Mountain View, CA
Carnegie Mellon University
Master's Student in Computer Vision
August 1, 2016 – December 1, 2017
Pittsburgh, PA
Pennsylvania State University Applied Research Laboratory
Algorithm Engineer
February 1, 2015 – August 1, 2016
Corning Incorporated
Controls Engineer Intern
June 1, 2014 – August 1, 2014
Corning, New York
Lutron Electronics
Analog Electrical Engineer Intern
May 1, 2013 – August 1, 2013
Coopersburg, PA
Cultural Fit Analysis
The candidate's experience is heavily concentrated in Deep Learning and Computer Vision, with roles at research institutions and tech companies. While this demonstrates a strong technical foundation, the target role is 'Data Analyst'. This represents a significant pivot, and the current experience does not directly align with typical data analyst responsibilities such as advanced SQL, data warehousing, business intelligence tools, or A/B testing. The lack of project diversity outside of computer vision and deep learning suggests a potential mismatch for a pure data analyst role, unless the role has a strong emphasis on machine learning model analysis or data science.
Soft Skills & Operational Fit
The candidate's resume highlights roles involving research and development, suggesting strong problem-solving and analytical skills. The description of 'internal tooling development' implies an ability to contribute to operational efficiency. However, specific soft skills like teamwork, leadership, or communication are not explicitly detailed.