Experience

Deck

• United States
• Software Development
• 1 - 100 Employee

• Data Scientist

  • Aug 2022 - Present



Change Research

• United States
• Research
• 1 - 100 Employee

• Senior Data Scientist

  • Oct 2021 - Aug 2022

• Data Scientist

  • Mar 2021 - Oct 2021



Biden for President

• United States
• 1 - 100 Employee

• Distributed Analytics Director

  • Jul 2020 - Nov 2020

  Managed a team to support the national digital organizing team at Biden for President which included four program verticals and over 90 staff. Defined, measured, and tracked metrics of success for the national distributed organizing team, battleground state digital organizing teams, and email and SMS organizing programs. Built and maintained data pipelines for national digital organizing efforts, this included a national vansync for ThruTalk and ThruText, reporting tables, and base tables for vendor data. Built universe penetration report to inform resource allocation decisions based on the number of uncontacted voters in a given state, and the importance of states for our path to victory. Show less



Democratic National Committee

• United States
• Political Organizations
• 300 - 400 Employee

• Battleground States Analytics Manager

  • Apr 2020 - Jul 2020

  Managed relationships with state data teams and state parties across the country, and hired data staff in battleground states to support coordinated campaigns. Worked closely with the Biden for President team to create consistent data standards and manage a variety of VAN committees. Managed relationships with state data teams and state parties across the country, and hired data staff in battleground states to support coordinated campaigns. Worked closely with the Biden for President team to create consistent data standards and manage a variety of VAN committees.



Pete for America

• United States
• Political Organizations
• 1 - 100 Employee

• Data Scientist

  • Apr 2019 - Mar 2020

  First member of the data / analytics / tech team, established initial interviewing and hiring processes Designed, analyzed results, and made recommendations on surveys for tracking and research, focused on answering strategic questions around targeting and broad communications strategy Forecasting to inform delegate strategy and deploy resources across battleground states in high leverage districts. This informed financial decisions around TV buys and digital ad targeting. Worked tightly with the delegate and voter protection team to fight for recounts, identify inconsistencies, and challenge rule changes with the Iowa Democratic Party. Identified errors leading to over 20 SDEs that allowed Pete Buttigieg to hold on to a victory by a margin of less than one SDE. Managed state data directors in Iowa, New Hampshire, and Nevada from April – July while over 150 organizers were onboarded in those states https://www.quora.com/session/Pete-for-America/1?q=pete%20for%20amer Show less



Chan Zuckerberg Initiative

• United States
• Non-profit Organizations
• 400 - 500 Employee

• Machine Learning Engineer

  • Oct 2017 - Apr 2019

  Built out a platform for non-profits partners to use machine learning to increase donations, membership, and volunteer capacity or optimize service delivery Put machine learning tools into an API that automates multiple imputation, variable selection, model training, tuning, and model evaluation running on spark Automated data quality processes to identify missingness, duplicates, and anomalies while tracking model accuracy over time Built out a platform for non-profits partners to use machine learning to increase donations, membership, and volunteer capacity or optimize service delivery Put machine learning tools into an API that automates multiple imputation, variable selection, model training, tuning, and model evaluation running on spark Automated data quality processes to identify missingness, duplicates, and anomalies while tracking model accuracy over time



Indiana Coordinated Campaign

• Deputy Data Director

  • Sep 2018 - Nov 2018

  Worked on the data team that supported Joe Donnelly’s Senate re-election campaign, as well as down-ballot Democrats in Indiana Worked on the data team that supported Joe Donnelly’s Senate re-election campaign, as well as down-ballot Democrats in Indiana



Deck

• United States
• Software Development
• 1 - 100 Employee

• Data Analyst

  • Jun 2017 - Sep 2017

  Built individual level predictive models to optimize voter contact for Democratic political campaigns using machine learning Built individual level predictive models to optimize voter contact for Democratic political campaigns using machine learning



Indiana University

• Bloomington, Indiana Area

• Research Assistant

  • Aug 2013 - May 2017

  Worked with Professor Bernard Fraga in the Political Science Department and Indiana University. Research focused on American political behavior, racial and ethnic politics, and youth turnout. Conducted an experiment leading up to the 2016 general election on student registration using peer-to-peer mobilization methods with over 10,000 students. Worked with Professor Bernard Fraga in the Political Science Department and Indiana University. Research focused on American political behavior, racial and ethnic politics, and youth turnout. Conducted an experiment leading up to the 2016 general election on student registration using peer-to-peer mobilization methods with over 10,000 students.



Analyst Institute

• Washington, D.C.

• Research & Development Intern

  • Jun 2016 - Apr 2017



Shelli Yoder for Indiana

• Bloomington, Indiana Area

• Finance Assistant

  • Oct 2015 - Apr 2016

  Recruited, trained, and managed a team of 25 interns Managed call time for the candidate Staffed the candidate at events Recruited, trained, and managed a team of 25 interns Managed call time for the candidate Staffed the candidate at events



Democratic National Committee

• United States
• Political Organizations
• 300 - 400 Employee

• Technology Intern

  • May 2015 - Aug 2015

  Worked with BSD data to build predictive models that would increase email open rates, click-throughs, and online donations. Used Python and SQL to organize data and improve functionality of existing voter identification and prediction models. Worked with BSD data to build predictive models that would increase email open rates, click-throughs, and online donations. Used Python and SQL to organize data and improve functionality of existing voter identification and prediction models.



Enterprise Holdings

• United States
• Travel Arrangements
• 700 & Above Employee

• Revenue Management Intern

  • Jun 2014 - Aug 2014

  Worked with data collection, entry, and management for various branches through the UK Used data analysis and visualization to find the most effective pricing strategies for new branches in Germany Worked with data collection, entry, and management for various branches through the UK Used data analysis and visualization to find the most effective pricing strategies for new branches in Germany