Principal Scientist, Machine Learning and AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Georgia Institute of Technology
PhD, Electrical and Computer Engineering
January 1, 2001 – January 1, 2007
Indian Institute of Technology, Delhi
Bachelor of Technology
January 1, 1997 – January 1, 2001
GE Aerospace
Principal Scientist
April 1, 2024 – Present
GE Research
Principal Scientist
July 1, 2021 – February 1, 2025
Luleå University of Technology
Adjunct Professor
September 1, 2018 – Present
Luleå, Sweden
GE Research
Senior Scientist
April 1, 2015 – July 1, 2021
PHM Society
Editor-in-Chief, International Journal of Prognostics and Health Management
March 1, 2011 – December 1, 2020
http://www.phmsociety.org/journal
NASA Ames Research Center
Research Scientist (SGT)
October 1, 2007 – March 1, 2015
Mountain View, CA
Pratt & Whitney
Independent Contractor/Intern
January 1, 2005 – January 1, 2005
Hartford, Connecticut Area
Georgia Institute of Technology
Graduate Research Assistant
January 1, 2001 – January 1, 2007
Cultural Fit Analysis
The candidate's background is heavily skewed towards research and academic environments, with significant experience in scientific roles at large organizations like GE and NASA. While this demonstrates a strong intellectual curiosity and dedication, the direct alignment with a typical 'Data Analyst' role, which often involves business-oriented data interpretation, dashboarding, and stakeholder communication, is not immediately apparent. The lack of specific project details or skills related to business intelligence, data visualization, or direct data analysis for business outcomes makes it difficult to assess cultural fit for a standard corporate data analyst position. The experience suggests a fit for R&D or advanced analytics roles.
Soft Skills & Operational Fit
The candidate's extensive experience in research, leadership, and academic roles suggests strong analytical, problem-solving, and communication skills. The role as Editor-in-Chief indicates strong organizational and editorial capabilities. However, specific operational fit for a Data Analyst role is not explicitly detailed in the provided descriptions.