Above all, I am a tenacious problem solver. [Truck stop waitress to Princeton PhD.] After 10+ years of wrangling data in academia, healthcare, and higher ed, I excel in data storytelling. Families literally let me shoot lasers into their babies’ brains – for science! – because I am an empathetic communicator.
Highlights from my skillset:
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Programming: SQL, Python, R, version control [GitHub, Bitbucket, GitLab], cloud platforms [AWS, Azure]
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Machine Learning: sklearn, TensorFlow, PyTorch, feature engineering, dimensionality reduction [PCA], K-means clustering, regression, classification [KNN, SVM, Random Forest, XGBoost], neural networks [CNN, RNN]
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Natural Language Processing [NLP]: HuggingFace, speech-to-text, tokenization, embeddings, named entity recognition [NER], sentiment analysis, topic modeling