Joseph Catanzarite
Data Scientist
Long Beach, California, United States
Summary
👤
Senior🎓
Top SchoolJoseph Catanzarite is a data scientist with 11 years of experience applying machine learning and AI to both scientific and educational projects, from NASA/JPL and the Kepler exoplanet mission to building data science curricula for BloomTech and Make School. He has a strong research and engineering pedigree—Caltech undergrad and graduate degrees in physics and electrical engineering—and a track record of production ML systems (a Random Forest autovetter with 97% accuracy and kNN innovations that cut NASA supercompute time by 85%). Joseph combines hands-on NLP and deep learning work (notable contributions to the fastai course notebooks and RNN/LSTM teaching materials) with practical data engineering and model deployment experience. He’s active in community education, leading study groups and designing course content that turns theory into job-ready skills. An uncommon blend of space-science rigor and pedagogy, he brings measurable impact in high-stakes research and in training the next generation of practitioners.
11 years of coding experience
16 years of employment as a software developer
The University of ArizonaMaster's Degree Electrical Engineering, Master's Degree Electrical Engineering at University of Southern CaliforniaCalifornia Institute of TechnologyMasters Artificial Intelligence, Masters Artificial Intelligence at Johns Hopkins Whiting School of Engineering
French
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (28)
python10
data-science10
pandas10
machine-learning10
rnn-model10
beautifulsoup10
n10
webscraping10
sentiment-analysis10
keras10
fastai10
lstm10
tensorflow10
neural-network10
jupyter-notebook10
Programming languages (6)
Github contributions (5)
bloominstituteoftechnology/DS-Unit-4-Sprint-2-Neural-Networks
Sep 2021 - Dec 2021
Role in this project:
Data Scientist
Data ScientistContributions:21 commits, 5 pushes in 2 months
Contributions summary:Joseph's contributions primarily involve updating and modifying a Jupyter Notebook file related to a neural network architecture lecture. The file contains markdown and code examples that describe the fundamentals of neural networks, including foundational components and mathematical formulations. Based on the changes, the user's primary activity appears to be revising and improving the existing content, likely related to educational materials on the subject.
bloominstituteoftechnology/DS-Unit-4-Sprint-3-Deep-Learning
Sep 2021 - Dec 2021
Role in this project:Data Scientist
Data ScientistContributions:22 commits, 7 pushes in 2 months
Contributions summary:Joseph's commits primarily involve updating an iPython Notebook file related to a Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM) lecture. The changes include updates to the text content, which suggests work on educational material. The focus appears to be on explaining concepts related to RNNs and LSTMs, likely for a data science course or tutorial.
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