Michelle Lee

Data Scientist @ Dealerware

About Michelle Lee

Michelle Lee is a Data Scientist with a strong background in psychology and user experience research. She combines her expertise in data science with insights into human behavior to enhance human-computer interaction.

Work at Dealerware

Michelle Lee has been employed at Dealerware as a Data Scientist since 2021. In this role, she applies her data science expertise to enhance the company's operations and decision-making processes. Her work involves analyzing data to derive insights that support business strategies and improve user experiences.

Education and Expertise

Michelle Lee studied at multiple institutions, achieving a Doctor of Philosophy (Ph.D.) in Psychology from the University of Denver. She also earned a Master’s Degree in Clinical Psychology from the same university. Additionally, she completed a Data Science Immersive program at Galvanize Inc. and holds a Bachelor’s Degree in Psychology from New York University. Her education provides a strong foundation in both data science and human behavior.

Background

Michelle Lee has a diverse professional background that includes various roles in data science and research. She worked as a Research Consultant at the Denver District Attorney's Office and the Rocky Mountain Children's Law Center. She also served as a User Experience (UX) Researcher at MeasuringU and held a position as a Graduate Teaching and Research Assistant at the University of Denver.

Professional Experience

Throughout her career, Michelle Lee has held several data science positions. She worked at Pearson as a Data Scientist from 2018 to 2020 and at Dataiku from 2020 to 2021. Additionally, she completed a fellowship at Insight Data Science in 2018. Her roles have allowed her to develop a multidisciplinary approach to understanding human behavior through data.

Skills and Methodologies

Michelle Lee combines her expertise in data science with knowledge in psychology and user experience research. She utilizes programming and statistical analysis to extract insights from data, focusing on human-computer interaction. Her unique skill set enables her to approach problems from multiple perspectives, enhancing her contributions to the field.

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