• Product Analyst Case Study for Bread - A/B Testing with Python: This project was an interview case study for my current position as a Data Analyst for Bread Financial. This project showcases my most advanced skills in statistical analysis using Python, especially for an applied business problem.

• Etsy Product Analysis: Analyzing Listing Data with Descriptive and Inferential Statistics: I am actively working on this project to extract, clean, and analyze listing data for a specific type of product on Etsy: artificial crepe paper flowers. For this project, I use Python scripts and Jupyter notebooks to extract listing data from the Etsy API and clean and prepare the data for analysis. This repo also stores SQL queries I use to establish PostgreSQL tables and for long-term storage of the dataset.

• Etsy Data Visualization with Python: This is an extension of the above-described project where I produced visualizations using Pandas, Matplotlib, and Seaborn to present data about the Etsy artifical crepe paper flower market. This was a student project submitted and reviewed by Udacity in completion of the Data Analyst Nanodegree.

• Data Wrangling Twitter Data with Python: A jupyter notebook documenting wrangling efforts of several datasets to provide insights about the We Rate Dogs twitter account. This was a student project submitted and reviewed by Udacity in completion of the Data Analyst Nanodegree.

• Data Analysis with SQL: Investigating the PostgreSQL Sakila DVD Rental Database For this project, I worked with a local installation of PostgreSQL using pgAdmin to analyze the Sakila DVD sample dataset.This was a student project submitted and reviewed by Udacity in completion of the Programming for Data Science with Python Nanodegree.

• Interactive Python: Examining NYC Bikeshare Data For this project, I authored an interactive python script to extract bikeshare statistics depending on user input. This was a student project submitted and reviewed by Udacity in completion of the Programming for Data Science with Python Nanodegree.

• Some of my professional research and analysis experience is not represented by a repo here, but provides real-world examples of my data reporting and analysis work. I previously worked for two years as a data analyst for Arlington County Government's Department of Community Planning, Housing & Development. The following reports made use of my skills in SQL querying and data visualization.
  • Here is a report explaining my development of residential gross floor area conversion factors that can be used by planners to forecast development.
  • And here is an example of the type of data reporting I conducted on a quarterly and annual basis to track development activity in the county.

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