Beth Mcdonald
Engineer Senior, Software Data
Chicago, Illinois, United States
Summary
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Top SchoolBeth Mcdonald is a senior software data engineer with eight years of experience building machine learning and data-driven solutions across museums and audio-technology industries. Currently at Shure, she has progressed from ML-focused roles into senior software data engineering, blending model development with production data engineering. Her background includes applied ML work at The Field Museum—turning scientific collections into actionable insights—and a computer science MS that complements a unique earlier career in professional music performance. Comfortable at the intersection of research and production, she brings a creative problem-solving approach to enable data-informed decisions and operationalize models in real-world products. An organizer and team player by practice, she pairs technical depth with experience in logistics and digital content from her diverse past roles.
7 years of coding experience
13 years of employment as a software developer
Master's degree Tuba Performance, Master's degree Tuba Performance at New England Conservatory of MusicMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Northeastern Illinois UniversityBachelor's degree Music Performance, Bachelor's degree Music Performance at University of KentuckyThomas Jefferson High School for Science and Technology
German
Github Skills (26)
convolutional-neural-networks10
botany10
cnn-keras10
binary-classification10
multiclass-classification10
classification-algorithm10
self-organizing-map10
image-classification9
imagenet9
classification9
digitization9
computer-vision9
image-augmentation8
google-cloud-vision8
tensorflow8
Programming languages (4)
Github contributions (5)
emcdona1/ocr_handwritten_labels
Feb 2021 - Jun 2022
Use Google Cloud Vision to process handwriting in herbarium specimen labels, and prepare images for further downstream uses in community science, CNNs, etc..
Contributions:10 PRs, 50 pushes, 14 branches in 1 year 4 months
community-sciencespecimengoogle-cloud-visionsciencevision
emcdona1/field_classification
Sep 2019 - Sep 2022
Using Convolutional Neural Networks (CNNs) for binary classification of plant images, especially of the genius Frullania.
Contributions:5 releases, 637 commits, 19 PRs in 3 years 1 month
plantsnatural-historygeniusimage-classificationtensorflow
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