Jennifer Staab
Senior Data Scientist
Greater Orlando United States
Summary
👤
Senior🎓
Top SchoolJennifer Staab is a Senior Data Scientist with a deep interdisciplinary background bridging biostatistics, computer science, and bioinformatics, and over two decades of domain expertise applied across industry, academia, and consulting. She currently drives data-quality, automation, and analytics at Electronic Arts, building pipelines, dashboards, and robust metrics that surface strategic insights for stakeholders. Her prior roles include developing AI curriculum at Udacity, leading big-data and health-informatics programs as a university faculty member, and architecting secure AWS high-performance computing environments for genomic research. Jennifer combines production analytics (PowerBI, SQL, Redshift, Hive, Python, R) with research-grade statistical methods from her PhD work, enabling pragmatic solutions that tolerate imperfect data. Notably, she has contributed to educational open-source image-classification code used in Udacity’s popular AI Programming nanodegree, reflecting a commitment to reproducible learning and hands-on mentorship.
8 years of coding experience
22 years of employment as a software developer
BSPH, Biostatistics, BSPH, Biostatistics at University of North Carolina at Chapel Hill
Github Skills (13)
mask-rcnn10
faster-rcnn10
machine-learning10
python10
image-classification10
argparse9
pytorch8
data-structures8
file-processing8
file-handling8
data-structure8
fileio8
file-access8
Programming languages (2)
Github contributions (5)
udacity/AIPND
Feb 2018 - Jul 2018
Code and associated files for the AI Programming with Python Nanodegree Program
Role in this project:
Data Scientist
Data ScientistContributions:77 commits, 2 PRs, 49 pushes in 4 months
Contributions summary:Jennifer's commits focus on the development and refinement of image classification models within the context of the AI Programming with Python Nanodegree Program. The commits showcase the modification of an image classification program, `check_images_solution.py`, and other related files for the purpose of image classification. These changes include the addition of command-line arguments, the creation of pet image labels, and the classification of images using a CNN model.
pythonnanodegreenumpymachine-learningmatplotlib
udacity/AIPND-revision
Jun 2018 - Jul 2018
Revision to the code and associated files for the AI Programming with Python Nanodegree Program
Contributions:20 commits, 2 pushes in 1 month
ai-programming-with-pythonpythonnanodegreemachine-learning
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