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Ph.D. Machine Vision, Machine Learning, AI, UX, Data visualization, C. Graphics Researcher at GE
At General Electric, Habib worked on Immersive Interactive HMI, in particular for control room use cases, in the context of data visualization of analytics output. The system he created was published in several places, some of which are : http://www.bizjournals.com/sanfrancisco/print-edition/2013/07/19/industrial-revolution-20-takes-form.html http://www.youtube.com/watch?v=ilXpNhxgvLQ&feature=youtu.be http://www.youtube.com/watch?v=inPYlvWGASo&feature=youtu.be http://www.ktvu.com/videos/news/san-ramon-general-electric-software-to-fill-200/vfFFw/
University of Washington
Ph.D (+ 2 internships), Computer Science
January 1, 1997 – January 1, 2006
ENSEEIHT
Masters of Science (DEA), Computer Science
January 1, 1994 – January 1, 1995
ENSEEIHT
Specialized Master, Computer Science
January 1, 1994 – January 1, 1994
ENSEEIHT
Bachelor's degree, Computer Science
January 1, 1993 – January 1, 1994
Rouss
Designer
January 1, 2014 – January 1, 2014
Designing my own house, a side personal job
GE Research
Computer Vision/ AI/ UX / 3D data visualization / Machine vision / Machine Learning
April 1, 2012 – Present
San Ramon
URC Venture
Research Scientist Candidate
January 1, 2012 – January 1, 2012
Charles River Laboratories
Senior Computer Vision Scientist II
January 1, 2006 – February 1, 2012
542 First Ave South, Suite 200
University of Washington
Teacher Assistant - during Ph.D.
January 1, 2002 – January 1, 2005
NASA Goddard Space Flight Center
Internship during Ph.D
January 1, 2000 – January 1, 2002
University of Washington
Ph.D. Researcher and 2 internships (Nasa - Ford)
January 1, 1999 – January 1, 2006
Ford Motor Company
InternShip during Ph.D.
January 1, 1997 – January 1, 2000
University of Washington
Research as a Visiting Student
January 1, 1996 – January 1, 1997
Centre National d'Étude des Telecommunications
Internship during Specialized-Master's degree
June 1, 1994 – November 1, 1994
CNET : Centre National d'Etude des Telecommunications
ENSEEIHT
Master's thesis
January 1, 1994 – January 1, 1995
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and specialized computer vision/AI roles, which may require adaptation to a typical corporate data analyst environment. While the technical depth is high, the direct alignment with standard 'Data Analyst' responsibilities (e.g., SQL, business intelligence tools, dashboarding, statistical analysis beyond ML algorithms) is not explicitly demonstrated. The diversity of projects is high in terms of technical complexity but less so in terms of business domain breadth relevant to a general data analyst role. The long tenure in research-focused roles suggests a preference for deep technical problem-solving.
Soft Skills & Operational Fit
The candidate's extensive research and project experience suggest strong analytical and problem-solving skills. The descriptions of work at GE Research and Charles River Laboratories indicate an ability to work on complex, multi-faceted projects. However, the resume does not provide explicit details on collaboration, leadership, or communication styles in a team setting, making a full assessment of operational fit challenging. The 'Designer' role for a personal house project is an outlier and does not contribute to professional soft skills assessment.