Meghan Weber
Senior Data Scientist
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolMeghan Weber is a Senior Data Scientist in Chicago with seven years of experience applying machine learning to financial services and DoD research. She has advanced the small business recommendation engine at Fifth Third Bank—maintaining 30+ production models and building RNN+CNN architectures to predict overdrafts—while translating technical results into business-ready insights. Her background blends an MS in Analytics and a BS in Biomedical Engineering, which she leverages to tackle inverse-design problems and publish novel neural network algorithms from work at the Air Force Research Laboratory. Comfortable across Python, R, and SQL, she bridges data engineering and product teams to deploy monitored, interpretable models (including R Shiny monitoring dashboards). Pragmatic and solution-oriented, she often surfaces actionable recommendations from transaction-level data to inform changing economic conditions. An early-career pattern is her ability to move research ideas into production-ready systems that stakeholders can actually use.
7 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Analytics, Master of Science - MS, Analytics at North Carolina State UniversityBachelor of Science - BS, Biomedical/Medical Engineering, Bachelor of Science - BS, Biomedical/Medical Engineering at Wright State University
Github Skills (8)
svm-classifier7
logistic-regression6
linear-regression6
python4
deep-learning3
machine-learning3
data-science3
scikit-learn2
Programming languages (2)
Github contributions (5)
MeghanWeber/Machine-Learning
Jan 2019 - Oct 2019
Machine Learning Practice
Contributions:22 commits, 20 pushes, 1 branch in 8 months
machine-learning-practicepythonsvm-classifierlogistic-regressiondata-science
MeghanWeber/Java-Projects
Apr 2019 - Jun 2019
Contributions:13 pushes, 1 branch in 2 months
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