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Data Scientist / Software Engineer
Motivated physicist and software developer actively seeking a machine learning engineer position. 8+ years of professional software development experience in C++, Python, Java. Excellent team player with a solid knowledge of computational physics and software engineering principles. Proficient in machine learning and data mining techniques, high performance computing, computational geometry algorithms and geographic information systems. Interested in applying machine learning techniques to spatio-temporal problems.
University of California, Davis
Doctor of Philosophy (PhD), Physics
January 1, 2004 – January 1, 2012
San José State University
Graduate Coursework in Physics, Physics
January 1, 2001 – January 1, 2004
The University of Alabama
Master of Science (M.S.), Chemical Engineering
January 1, 1993 – January 1, 1995
Indian Institute of Technology, Madras
Bachelor of Technology (B.Tech.), Chemical Engineering
January 1, 1989 – January 1, 1993
Channel Logistics LLC dba Space-Eyes
Data Scientist
June 1, 2022 – July 1, 2023
All Weather, Inc. (AWI)
Software Engineer
April 1, 2018 – October 1, 2019
Sacramento, California Area
AT&T
Developer, Common Machine Learning Platform
November 1, 2017 – April 1, 2018
All Weather, Inc. (AWI)
Contractor
January 1, 2017 – May 1, 2017
Sacramento, California Area
All Weather, Inc. (AWI)
Software Engineer
November 1, 2014 – February 1, 2016
Sacramento, California Area
Computational Infrastructure for Geodynamics
Software Developer
October 1, 2012 – September 1, 2014
Davis, CA
UC Davis
Graduate Teaching Assistant
September 1, 2004 – June 1, 2012
Davis, CA
DoubleClick
Software Engineer
March 1, 2001 – November 1, 2001
San Mateo, CA
McKesson Health IT
Software Engineer
January 1, 1998 – January 1, 2001
Alpharetta, GA
Consort Technologies / Medaphis Corporation
Software Engineer
December 1, 1995 – November 1, 1997
Greater Atlanta Area
Intro to Redis Data Structures
Redis
June 24, 2026 – Present
Redis Streams
Redis
June 24, 2026 – Present
Data Visualization
Coursera Course Certificates
June 24, 2026 – Present
Text Mining and Analytics
Coursera Course Certificates
June 24, 2026 – Present
Cluster Analysis in Data Mining
Coursera Course Certificates
June 24, 2026 – Present
Text Retrieval and Search Engines
Coursera Course Certificates
June 24, 2026 – Present
Pattern Discovery in Data Mining
Coursera Course Certificates
June 24, 2026 – Present
Programming Mobile Applications for Android Handheld Systems
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career path shows a blend of academic research, traditional software engineering, and more recent data science/ML roles. This diversity could indicate an ability to adapt to different work environments and contribute to varied projects. The long tenure as a Graduate Teaching Assistant suggests dedication and a collaborative spirit. However, the lack of detailed project descriptions makes it challenging to fully assess alignment with specific team cultures or innovative approaches.
Soft Skills & Operational Fit
The candidate's diverse academic and professional background suggests adaptability and a strong learning orientation. Experience as a Graduate Teaching Assistant indicates communication and mentoring skills. However, without specific project details or behavioral assessment data, it is difficult to fully assess operational fit and soft skills beyond general inferences.