Open to opportunities

Zoë Zemper

@zozemper

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Data Scientist with a passion for data analysis and visualization.

United States

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What I'm looking for

I am looking for a role that leverages my data science skills to drive insights and inform decision-making. I am interested in working with a team that values data-driven approaches and is committed to making data accessible and actionable.

I am a highly motivated and detail-oriented Data Scientist with a strong background in data analysis, machine learning, and data visualization. With a Master's degree in Information from the University of Michigan, I have developed a solid foundation in data science and analytics. My experience in the U.S. Federal Department of Labor has equipped me with the skills to work with large datasets, develop predictive models, and create interactive data visualizations.

I am passionate about using data to drive insights and inform decision-making. My expertise in Python, R, and Tableau has enabled me to work on various projects, from refining predictive machine learning models to designing and implementing interactive data visualizations. I am committed to making data accessible and actionable, and I am excited to continue growing as a data scientist.

In addition to my technical skills, I possess excellent communication and interpersonal skills, which have been essential in my roles as a coach, trainer, and project consultant. I am confident in my ability to work effectively with cross-functional teams and stakeholders to drive project success.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

U.S. Federal Department of Labor

May 2023 - Present (2 years 1 month)

As a Data Scientist, I received the Secretary’s Honor Award for developing equity dashboards and enhancing predictive machine learning models. I led market research on AI's workforce impact and created interactive data visualizations to improve unemployment data accessibility and insights.

R Python Tableau Excel Machine Learning Data Visualization API Integration Statistical Analysis GitHub Data

Graduate Student Instructor

University of Michigan

Jan 2023 - Apr 2023 (3 months)

Taught a course on Data and AI ethics, developing class materials, leading lectures, and grading assignments to enhance students' understanding of ethical considerations in data science.

Teaching Curriculum Development Ethical Considerations Public Speaking Communication Leadership

AI Engineer

Kaggle Competitions

Sep 2022 - Jan 2023 (4 months)

Participated in Kaggle competitions to create machine learning models for various predictive tasks, utilizing techniques such as k-NN, regression, SVMs, and neural networks.

Machine Learning Python Data Analysis Neural Networks Problem Solving

Project Consultant

UMSI Engaged Learning Office

May 2022 - Dec 2022 (7 months)

Managed client communications and scoped data-oriented student projects, facilitating collaboration and ensuring project alignment with client needs.

Project Management Client Communication Data Analysis Salesforce Team Collaboration Stakeholder Engagement Problem Solving Leadership

Data Science Fellow

Bureau of Labor Statistics

Jun 2021 - Aug 2021 (2 months)

Analyzed labor census data, cleaning large datasets and creating structured SQL databases. Presented findings to the Bureau, including the Secretary of Labor, enhancing data usability.

Data Analysis SQL Python Data Cleaning Presentation Skills Statistical Analysis Data Visualization Research Team Collaboration Communication

Sustainability Analyst Intern

Detroit Zoological Society

Aug 2020 - Aug 2020 (0 months)

Conducted data research on tree species for a large planting project, analyzing properties to optimize future plantings for carbon uptake and stormwater management.

Research Excel Data Visualization Project Management Data Reporting Teamwork

Education

Degrees, certifications, and relevant coursework

University of Michigan

Bachelor of Science, Information Science

2018 - 2023

Earned a Bachelor of Science in Information with a major in Information Analysis, focusing on data science principles and applications.

University of Michigan

Bachelor of Arts, Cognitive Science

2018 - 2023

Achieved a Bachelor of Arts in Cognitive Science with a major in Decision-Making, exploring the intersection of cognitive processes and decision theory.

University of Michigan

Master of Science in Information, Information

2018 - 2023

Activities and societies: Involved in various collegiate experiences including serving as a Graduate Student Instructor and participating in Kaggle competitions.

Completed a Master of Science in Information with a focus in Big Data Analytics, alongside a Bachelor of Science in Information (Data Science) and a Bachelor of Arts in Cognitive Science (Decision-Making). Relevant courses included Machine Learning, Data Mining, Data Visualization, Data Ethics, and Data Exploration.