Data Analyst
Data Analyst using SQL, R, and Python to explore data and produce insights
Thank you for visiting my portfolio! I'm a logical thinker and love figuring out ways to use data to make logical, informed decisions. In my previous career providing specialized speech and language services, I took special interest in using data collected during my sessions to create progress reports and functional goals for my clients. I wanted to learn more technical skills that would allow me to do even more with data, and in January 2023, I enrolled in the Data Science Master's program at Eastern University where I completed coursewok including statistical modeling with R, data manipulation with Python, data visualization, business analytics, and machine learning. Having successfully completed my master's in data science, I am now looking forward to working at an exciting and innovative company that can make use of my knowledge and unique background experience to analyze data and solve business problems.
Outside of working with data, I enjoy fostering kittens for the San Diego Humane Society, baking, gardening, and traveling.
I have over 8 years of professional experience cultivating the following skills in fast-paced work environments.
I've worked with a variety of datasets to extract relevant metrics and combine them into informative dashboards. Here are a few examples.
I used Google Looker Studio to create this marketing dashboard, which connected with Google Ads to update reporting weekly. (Campaign names covered for company privacy)
I summarized relevant sales metrics to create this interactive annual report in Tableau, which includes informative tooltips and a parameter to view reports for individual teams.
As a fun personal project, I used publicly available data on fruit prices to combine graphics and data into an aesthetic and informative infographic.
Completed projects using Python and R code.
Created Python code to explore and analyze data collected by SleepInc's sleep-tracking app in order to identify factors that most strongly correlate with poor sleep quality. Used analysis results to make recommendations for people who would like to get a better night's sleep.
Analyzed a large dataset of health and demographic information to determine the best demographic variables for predicting depression.
For my Google data analytics capstone project, I explored and analyzed smart fitness device data sets using RStudio. After identifying trends, I shared visualizations in Tableau and made recommendations to improve the company's marketing strategy.
In my spare time, I also enjoy creating tech tools for SLPs. Follow the link to check out those projects!