James L is a Senior Data Analyst with nine years of experience blending analytics, machine learning, and product-focused storytelling to drive decisions at scale across companies like Snap, Facebook, and T-Mobile. He builds efficient Python/SQL pipelines and deployable ML solutions—ranging from Keras classifiers that slashed vetting time by 80% to NLP models that surface duplicate tickets—while surfacing insights through polished visualizations and R Shiny dashboards. Comfortable moving between research and production, he has a master’s in Data Science and a background in economics that helps frame technical results in business terms. Based in the New York City area, James is as interested in asking the right questions as answering them, favoring optimization and interpretability in crowded data environments.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University of Washington
Bachelor of Arts - BA, Economics, Math (Minor), Bachelor of Arts - BA, Economics, Math (Minor) at New York University
Project for DATA515A (Software Engineering). Purpose is to predict how a person would die.
Contributions:21 pushes in 15 days
compilersdiepythonpersonmachine-learning
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