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Machine Learning Scientist/Statistician
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
The Ohio State University
Doctor of Philosophy (Ph.D.), Statistics
January 1, 2010 – January 1, 2016
The University of Toledo
Master's Degree, Statistics
January 1, 2008 – January 1, 2010
China University of Mining and Technology
Bachelor's Degree, Mathematics
January 1, 2004 – January 1, 2008
Businessolver
Machine learning Scientist
January 1, 2019 – Present
Greater Seattle Area
Businessolver
Machine Learning Engineer
November 1, 2016 – August 1, 2019
Greater Seattle Area
Glassdoor
Data Science and Machine Learning Intern
June 1, 2015 – August 1, 2015
100 Shoreline Hwy, Mill Valley, CA 94941
The Ohio State University
Teaching/Research Assistant
January 1, 2012 – August 1, 2016
Columbus, Ohio Metropolitan Area
The University of Toledo
Teaching Assistant
August 1, 2008 – May 1, 2010
Toledo, Ohio Metropolitan Area
Sequence Models
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily focused on academic research and machine learning engineering roles, which may require a slight adjustment to a pure Data Analyst role. While the core skills in statistics and data manipulation are highly relevant, the project diversity is primarily within ML system development rather than broader business intelligence or reporting. The certifications in deep learning indicate a continuous learning mindset, which is a positive cultural fit indicator.
Soft Skills & Operational Fit
The candidate's experience as a Teaching/Research Assistant and Machine Learning Engineer suggests strong analytical thinking, problem-solving, and communication skills. The descriptions of managing complex datasets and providing interpretations indicate attention to detail and clarity. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.