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Sophie Geoghan

Data Scientist at Current Health

Sophie Geoghan is a data scientist with a unique background in cognitive neuroscience from the prestigious Massachusetts Institute of Technology (MIT). Her competencies include data science, project management, and a range of machine learning techniques such as Linear/Logistic Regression, Random Forest, Boosting, SVM, PCA, Clustering, and Naive Bayes. Sophie is well-versed in Python (sklearn, numpy, scipy, matplotlib), R/RStudio (dplyr, ggplot, shiny, knitr), SQL, and Git/GitHub. Sophie pursued a Bachelor of Applied Science (B.A.Sc.) in Brain and Cognitive Sciences at MIT. Her professional experience includes roles such as Data Scientist at Current Health, Lead Data Scientist at Health Recovery Solutions, Data Scientist at Finery, and Data Science Fellow at NYC Data Science Academy. Additionally, she has gained research experience at esteemed institutions like ICM - Brain & Spine Institute, EPFL (École polytechnique fédérale de Lausanne), and MIT Brain and Cognitive Science Center. Sophie has also worked as an Analyst - Intern at Arel Capital, Undergraduate Research Assistant at Barnard Cognitive Development Center, and Intern at Biomedical Neuroscience Institute.

Sophie Geoghan
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Location

Brooklyn, New York, United States