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Caroline Roper
Data Scientist (she/her)
Caroline Roper is a skilled data scientist specializing in machine learning, lifetime value prediction, churn prediction, prospect scoring, time series analysis, network analysis, and deep learning with a focus on NLP.
She is proficient in both Python and R programming languages and has showcased her research projects on GitHub at github.com/ceroper.
Caroline holds a Master's Degree in Data Science from New York University where she achieved a GPA of 3.8. She also completed a Bachelor's degree in Economics and Professional Writing with a GPA of 3.9 from Carnegie Mellon University. Additionally, she studied at IES Paris Business & International Affairs.
With a rich background, Caroline has worked in various prominent organizations. She has served as a Data Scientist at JPMorgan Chase & Co., Gemini.com, and as a Business Data Analyst at BrainPOP. Furthermore, she has experience as a Business Partnerships Operations Associate at GlobalGiving, Consultant at MarketBridge, Business Analyst at MarketBridge, and as an Intern at the International Trade Administration.
