Pattern Finder, Problem Solver, Fountain of Crazy Ideas
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Statistician who drives innovation by building connections. I bridge engineering, data, AI, and subject matter expertise in a way that links components into cohesive solutions.
Carnegie Mellon University
PhD, Statistics
January 1, 2006 – January 1, 2012
Northern Illinois University
M.S., Mathematics
January 1, 2002 – January 1, 2004
Texas Tech University
B.A., Mathematics
January 1, 1997 – January 1, 1999
University of North Texas
High school diploma, Texas Academy of Mathematics and Science
January 1, 1995 – January 1, 1997
Solventum
Statistician/AI Scientist
March 1, 2024 – Present
Pittsburgh, Pennsylvania, United States · Remote
3M
Statistician
December 1, 2020 – March 1, 2024
Pittsburgh, Pennsylvania, United States
Software Engineering Institute | Carnegie Mellon University
Machine Learning Research Scientist
January 1, 2017 – December 1, 2020
Pitts
University of Georgia
Assistant Professor
August 1, 2012 – December 1, 2016
Athens, Georgia, United States
Carnegie Mellon University
Graduate Fellow
January 1, 2006 – July 1, 2012
Pittsburgh, PA
Cultural Fit Analysis
The candidate's background is heavily rooted in academia and research, transitioning into industry roles focused on statistical and AI science. While the target role is 'Data Analyst', their experience leans towards advanced statistical modeling, machine learning research, and AI system development. This indicates a strong analytical and research-driven mindset. The diversity of projects, from healthcare analytics to cyber-intelligence and educational data mining, suggests adaptability and a broad intellectual curiosity. However, the specific cultural fit within a typical corporate data analyst team, especially regarding agile methodologies or direct business stakeholder engagement, cannot be fully assessed without more information.
Soft Skills & Operational Fit
The candidate's extensive research and academic background, including supervising graduate students and leading curriculum modernization, suggests strong analytical, problem-solving, and communication skills. Their experience in building systems from scratch and driving product decisions indicates a proactive and results-oriented approach. However, without psychometric test results, a full assessment of work attitude, stress handling, and team collaboration is not possible.