Caroline Roper

About Caroline Roper

I\'m a data scientist with experience in feature-engineered machine learning who has also more recently taken on significant responsibilities in data engineering and analytics engineering. I\'ve worked on use cases such as comment flagging, lifetime value prediction, churn prediction, and prospect scoring, among others. I\'m familiar with a wide variety of architectures and techniques such as deep learning NLP models, tree-based ensemble models, unsupervised and semi-supervised clustering, time series analysis, and network analysis. I\'m rigorous, tenacious, and cause-oriented. I have a cautious and thoughtful approach to the use of LLMs and generative text AI. I\'ve described my philosophy in greater detail here: I\'m also a co-author of the following recently published paper using ML to study the relationship between ideology and online hostility: https://rdcu.be/dtIHw

Experience

1. Data Scientist

   Globalgiving

   Apr 2025 — Present

   Maintain and improve ELT pipelines syncing data between Redshift, Meltano, DBT, and Metabase-Support executive and program teams with data-driven insights-Coordinate data sharing initiatives with philanthropy research partners

Education

• New York University

  Master’s Degree, Data Science

  2016 — 2018

• Carnegie Mellon University

  BS Economics, BA Professional Writing

  2008 — 2012

Skills

• Sql
• Git
• R
• Data Analysis
• Business Analysis
• Salesforce.com
• Nonprofits
• Apache Spark
• Microsoft Excel
• Python
• Spss
• Strategy
• Ssrs
• Mapreduce
• Fundraising
• Sas
• Research
• Data Mining
• Github