Apr 2022 – Nov 2023 · 1 yr 7 mos

• Owned the data used for Flow's sales and marketing reporting. Ensured this data were clean and accurate, fixing any problems as they arose, and partnering with sales, marketing, and finance teams to ensure accuracy.
• Created dashboards and reports on the health and progress of Flow's go to market motion.
• Secured dbt access for Flow's analytics team to use for data transformations. Wrote and deployed numerous dbt models to support Flow's sales, marketing, customer success, and product functions.

Sep 2021 – Oct 2021 · 1 mo

• Partnered with product managers and members of the leadership team to answer complex product and business questions through data analysis to aid in making important business decisions.
• Led experimentation at GitHub, ensuring experiments were well designed, and reported and interpreted the results of experiments to ensure learnings were effectively communicated to stakeholders
• Developed metrics to measure the success and impact of key product ships for the company, including building data visualization dashboards to continuously report on these metrics
• Wrote internal reports to gain a better understanding of GitHub customers and their needs
• Created ETL pipelines using Airflow to clean, transform, and aggregate data from across a variety of sources to aid in reporting product and business metrics
• Served as tech lead for the data science team, mentoring team members, developing and updating processes to ensure high quality work, and helping to interface with stakeholders across the company

Feb 2019 – Aug 2021 · 2 yrs 6 mos

• Partnered with product managers and members of the leadership team to answer complex questions with data to aid in making important business decisions. Led experimentation at GitHub, ensuring experiments are well designed and results are effectively communicated to stakeholders. Served as a team lead, mentoring team members, helping set process to ensure high quality work, and interface with stakeholders.

Sep 2017 – Jan 2019 · 1 yr 4 mos

• Analyzed data and provided insights to make strategic product decisions
• Wrote internal reports to gain a better understanding of GitHub customers and their needs
• Led efforts to centralize and organize analytic insights at GitHub to provide greater transparency and discovery of previous work
• Organized and led efforts to pull the data for GitHub's 2018 Octoverse report

May 2017 – Sep 2017 · 4 mos · Palo Alto, CA

• Built Highlightr, a python based web app to predict the top highlights in Medium.com articles
• Collected over 1600 articles using Selenium and BeautifulSoup, stored the data in PostgreSQL, and cleaned the data in Python
• Trained a Gaussian Naive Bayes classifier to identify sentences in an article most likely to be the top highlight, performing 105% better than chance
• Developed an interactive web app with the model using Python and Flask

Sep 2016 – May 2017 · 8 mos · Camarillo, California

• Taught over 100 undergraduate students in and developed curriculum for statistics, social movements, and political sociology
• Conveyed complex statistical concepts in easy to understand ways for students new to statistics

Jul 2015 – Sep 2016 · 1 yr 2 mos

• Lead quantitative data analysis strategy in a collaborative environment for a project studying how online participation shapes youth political advocacy
• Developed Stata and R scripts to clean, merge, and analyze data on nearly 4,000 websites
• Analyzed cleaned data using a variety of regression models and generated visualizations to convey complex results in straight-forward ways
• Communicated results of our analyses to a variety of academic and non-academic audiences

Jan 2014 – Jan 2015 · 1 yr · Irvine, CA

• Created a new position to provide statistical consulting to graduate students and faculty
• Worked with clients to develop statistical analytic strategies for their research projects

Sep 2007 – May 2015 · 7 yrs 8 mos · Irvine, CA

• Collected, cleaned, managed, and coded a data set of nearly 1 million newspaper mentions of advocacy organizations in the twentieth century.
• Developed Python scripts to scrape search results from newspaper archives and wrote R scripts to clean scraped data and upload them to a MySQL server.
• Developed an online web app to facilitate collaborative coding of data among a team of graduate students and faculty using HTML, CSS, PHP, and MySQL.
• Analyzed coded data using R with linear and logistic regression models, including developing compelling visualizations of results.
• Communicated results to a variety of audiences with varying backgrounds in quantitative methods and domain knowledge