Joseph H Catanzarite

Ai Study Group Lead At Twiml And Ai | Data Scientist

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Location:

3486 north El Dorado Dr, Long Beach, CA 90808

Industry:

Research

Work:

University of San Francisco
Fast.ai International Fellow
Cross-Entropy Consulting
Data Scientist
Seti Institute Jan 2013 - Aug 2017
Data Scientist
Nasa Jet Propulsion Laboratory Jan 2003 - Jan 2013
Project Staff Scientist and Research Technologist Iv and Application Developer
Datakind Jan 2003 - Jan 2013
Ai Study Group Lead at Twiml and Ai | Data Scientist

Education:

University of Southern California 1981 - 1984
Masters, Electrical Engineering University of Arizona 1975 - 1978
Masters, Physics Caltech 1971 - 1975
Bachelors, Mathematics

Skills:

Physics
Scientific Computing
Machine Learning
Algorithms
Data Analysis
Statistics
Numerical Simulation
Mathematical Modeling
Modeling
Numerical Analysis
Simulations
Digital Signal Processing
Signal Processing
Image Processing
Image Analysis
Programming
Matlab
Python
Parallel Computing
Linux
Astronomy
Astrophysics
Science
Latex
Optics
Experimentation
C
Fortran
C++
Perl
Mathematica
Idl
Spectroscopy
Sensors
Characterization
Research
Scientific Writing
Technical Writing
Software Engineering
High Performance Computing
R&D
Systems Engineering
R
Teaching
Mathematics
Computer Science
Testing
Data Mining
Analysis
Software Development
Data Science
Optimization

Interests:

Guitar
Cooking
Civil Rights and Social Action
Environment
Cycling
Chess
Poverty Alleviation
Hiking
Science and Technology
Disaster and Humanitarian Relief
Human Rights
Health

Languages:

French

Certifications:

Linear and Integer Programming, University of Colorado at Boulder
Convex Optimization (Cvx101)
Statistical Learning
Digital Signal Processing (Ecole Polytechnique Federale De Lausanne)
Discrete Time Signals and Systems (Rice University Elec301X)
Introduction To Probability - the Science of Uncertainty (Mitx 6.041X )
Introduction To Computer Science and Programming Using Python (Mitx 6.00.1X )
Machine Learning Foundations: A Case Study Approach (University of Washington)
Machine Learning: Regression (University of Washington) Certificate Earned on January 26, 2017.
Machine Learning: Classification (University of Washington)
Machine Learning: Clustering & Retrieval (University of Washington). Certificate Earned on 16 March 2017
Mathematics For Machine Learning: Principal Components Analysis (Imperial College, London)
A Crash Course In Causality: Inferring Causal Effects From Observational Data (Univ. of Penn.)
Neural Networks and Deep Learning (Deeplearning.ai)
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization (Deeplearning.ai)
Structuring Machine Learning Projects (Deeplearning.ai)
Improving Your Statistical Inferences (Eindhoven University of Technology)
Deep Learning Specialization (Deeplearning.ai)
Machine Learning Specialization (University of Washington)
Convolutional Neural Networks (Deeplearning.ai)
Sequence Models (Deeplearning.ai)
Coursera Mentor Community and Training Course
Machine Learning With Tensorflow on Google Cloud Platform Specialization
Sql For Data Science (Uc Davis)
Using Python For Research ( Harvardx Ph526X)
Machine Learning: Learning From Data (Cs156A), Caltech, Prof. Yaser Abu-Mostafa
Edx Honor Code Certificate For Discrete Time Signals and Systems (Rice University Elec301X)
Edx Honor Code Certificate For Mitx: 6.041X Introduction To Probability - the Science of Uncertainty
Edx Verified Certificate For Mit 6.00.1X Introduction To Computer Science and Programming Using Python
Linear and Integer Programming
Discrete Time Signals and Systems (Elec301X)
Mitx: 6.041X Introduction To Probability - the Science of Uncertainty