Tuan Tran

About Tuan Tran

SUMMARY PROFILEI am an accomplished researcher and modeler with a strong strategic mindset and a proven track record of shaping business strategies through data analysis. My expertise lies in developing and implementing statistical, predictive, and simulation models to explain and anticipate human behavior and guide strategic investments. Notably, I have earned four patents from the United States Patent and Trademark Office and authored 50+ peer-reviewed publications. With project management and partnership-building capabilities, I deliver results, driving process improvements, competitive advantages, and fostering trust among multidisciplinary teams to meet tight business timelines.CORE COMPETENCIESStrategic Thinking: Proven ability to shape business strategy by mining large structured and unstructured data sets to identify opportunities and create/implement data-driven approaches that generate business growth and profits.Data Science: Built and implemented statistical/predictive models, simulation models, and mathematical algorithms to predict human behavior and experience under different potential business strategies to identify appropriate areas of investment. Statistics and Data Analysis: Employ analytic applications like SAS, SPSS, R, and Python to identify segmentation, trends, and relationships in unstructured data sets to draw conclusions and translate findings into actionable business plans. Research Design/Methodology: Translate business needs into testable hypotheses, create sound research design and methodology to test these hypotheses, and translate results into actionable business initiatives and direction.Project Management: Manage business critical projects aligning business goals to drive process improvements, competitive advantages, and business strategies within the scheduled timelines by effectively planning, efficiently allocating resources, and removing impediments. Multi-disciplinary Partnerships: Adept at building trust and consensus among multidisciplinary partnerships to meet aggressive business timelines.TECHNICAL SKILLSQuantitative Specialties: multivariate statistics, predictive modeling, Bayesian statistics, machine learning, multi-level modeling, attribution modeling, marketing mix modeling, path analysis & structural equation modeling, item response theory, and resampling methods.Research: qualitative and quantitative research, concept testing, user testing, A|B testing, and in-market (field) research.Software: Databricks (R, Python, SQL), SAS, SPSS, Tableau, and Visual IQ.

Experience

1. Senior Scientist

   General Motors

   Jun 2023 — Present

Education

• Kansas State University

  PhD, Experimental Psychology

Skills

• Data Mining
• Quantitative Research
• Segmentation
• Experimental Design
• Matlab
• Research
• Heuristic Evaluation
• User-Centered Design
• Analysis
• Usability Testing
• Statistical Modeling
• Research Design
• Leadership
• Spss
• Human Computer Interaction
• Sas
• Simulations
• Mobile Devices
• Quantitative Analytics
• Task Analysis
• Qualitative Research
• Statistics
• Data Analysis
• Analytics
• Human Factors
• User Experience
• Psychology
• Project Management
• Usability