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Hi, I'm Juliet Womack. I am a full-time graduate student studying Applied Statistics and Analytics in the Metro Atlanta Area.

  • In December 2018 I earned my Bachelor of Science degree in Psychology with a minor in Applied Statistics and Analytics.
  • I love problem solving through programming and have experience with SAS, R, Python, SQL, and Tableau.
  • I also have experience with Minitab and JMP for data analysis.

This GitHub is designed to showcase my projects as a budding Data Analyst/Data Scientist. To learn more, please feel free to reach out to me via email or LinkedIn.

Profile Link
Email [email protected]
LinkedIn https://www.linkedin.com/in/juliet-womack/
Tableau Public https://public.tableau.com/app/profile/juliet.womack

Juliet Womack's Projects

adult-classification-task icon adult-classification-task

Uses Sci-kit learn to predict if an individual will earn $50k or less per year or more than $50k per year from 1994 census data.

attritionrate2014to2018 icon attritionrate2014to2018

Used Microsoft SQL Server to write several queries to calculate the attrition rate for a fictitious company between 2014 to 2018.

gradschooladmit icon gradschooladmit

Used Python Scikit-learn to build a MLR model to predict a graduate school candidate's chance of being accepted.

hrheadcount icon hrheadcount

The following SQL queries count the headcount of current employees at a fictitious company by different segments (Performance Score, Employee Satisfaction, Compensation, Company Tenure, Department, and Employee Engagement).

spacemissions icon spacemissions

Exploratory analysis of the Kaggle dataset, "Space Missions from 1957" in Python.

tt-paralympic-medals icon tt-paralympic-medals

Used TidyVerse to perform data wrangling and EDA on a dataset on Paralympic medals won between 1980 and 2016.

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