Mi Park
Data AnalystDeep Learning Architect at Nvidia
NVIDIA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Deep Learning Architect at Nvidia
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Penn State University
Ph.D., Computer Engineering
January 1, 2014 – Present
Dalhousie University
BE, Electrical Engineering
January 1, 2004 – Present
NVIDIA
Deep Learning Architect
August 1, 2025 – Present
Santa Clara, California, United States
Microsoft
Principal Applied Scientist
August 1, 2019 – July 1, 2025
Mountain View, California, United States
Intel Corporation
Deep Learning Data Scientist
July 1, 2017 – August 1, 2019
Santa Clara, CA
Intel Labs
Research Scientist
October 1, 2014 – July 1, 2017
Portland, Oregon Metropolitan Area
Intel Corporation
Graduate Research Intern
May 1, 2014 – August 1, 2014
Portland, Oregon Metropolitan Area
Intel Labs
Graduate Research Intern
May 1, 2013 – August 1, 2013
Portland, Oregon Metropolitan Area
Intel Labs
Graduate Research Intern
May 1, 2012 – August 1, 2012
Portland, Oregon Metropolitan Area
LG Electronics
Firmware Engineer
January 1, 2005 – June 1, 2009
Seoul, Korea
Cultural Fit Analysis
The candidate's experience is heavily concentrated in Deep Learning, AI, and research roles within large corporations. While this demonstrates a strong technical foundation, the target role of 'Data Analyst' represents a significant shift from their core expertise. The lack of explicit data analysis projects or roles focused on business intelligence, reporting, or traditional data manipulation (SQL, Excel, BI tools) suggests a potential mismatch with typical data analyst responsibilities. Their background is more aligned with advanced data science or machine learning engineering roles.
Soft Skills & Operational Fit
The candidate's resume indicates a strong background in research and development, suggesting analytical thinking and problem-solving skills. The descriptions for past roles are concise, which could imply directness, but lack detail to fully assess communication style or collaboration effectiveness. Without psychometric test results, it's difficult to assess work attitude, stress handling, or team collaboration.