Resume
Summary
Detail-oriented junior data scientist with proven ability to leverage ML and develop automated dashboards to improve operational efficiency. Experienced at working collaboratively with cross-functional teams and driving data-driven decisions through innovative problem-solving and storytelling. Currently pursuing a Master of Science in Data Science at Rice University, graduating Dec 2024.
Hard Skills
• Languages: Python, R, SQL
• Visualization: Tableau, Power BI
• ML: TensorFlow, PyTorch
• Big Data: AWS, Hadoop
• Version Control: GitHub, Bitbucket
• Project Management: Agile, JIRA
Education
Soft Skills
Intellectual Curiosity
Storytelling
Attention to Detail
Problem-Solving
Self-Directed & Team-Oriented
Analytical Expertise
08/2023 – 12/2024 Master of Science in Data Science @ Rice University
08/2019 – 01/2023 BA in Statistical & Data Science, and Psychology @ Smith College
08/2015 – 05/2019 AA in Multidisciplinary Studies @ Houston Community College
Accomplishments
08/2023 – 12/2024 Master of Science in Data Science @ Rice University
08/2019 – 01/2023 BA in Statistical & Data Science, and Psychology @ Smith College
08/2015 – 05/2019 AA in Multidisciplinary Studies @ Houston Community College
Work Experience
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10/2023 – Present
Graduate Data Analyst, Politics on the Go (POGO)| Remote | Startup
• Laid the groundwork for POGO’s data analytics products, providing actionable insights into voter behavior for stakeholders.
• Began developing back-end software to recommend politicians based on users’ political views.
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06/2023 – Present
ISRM Cybersecurity Data Analyst, Johnson & Johnson | Remote
• Collaborated with stakeholders to develop visual analytics dashboards that saved stakeholders 2-4 hours/week.
• Developed a custom NLP model using open-source tools to match variably spelled names to the same entity, successfully identifying 40% of previously unrecognized entities.
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09/2022 – 01/2023
Data Science Intern, Comparative Agility | Remote | Startup
• Developed a custom R Package to expedite the creation and processing of capability reports, saving the Data Science team 3 hours per week.