About Me
Hi there 👋
My name is Michael
I'm a data scientist and engineer at Applied Materials, putting the power of artificial intelligence and machine learning at the edge of the Industrial Internet of Things, Industry 4.0, and next-generation Smart Factory Automation. I specialize in early failure detection for machinery, prognostic analysis, dashboards, visualization, and exploratory data analysis. I’m looking to collaborate on data science projects, machine learning, and applications of data science in other fields
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About me!
🧑💻 I’m currently working on
- Building predictive models for semiconductor equipment to predict failures before they impact production
- Writing a book on Practical Prognostics with Python (Stay tuned!)
- Developing stock trading algorithms to reduce volatility exposure and beat common index returns
My Certifications
Coursera
- University At Buffalo - Digital Manufacturing & Design Technology Specialization
- Digital Manufacturing & Design
- Digital Thread: Components
- Digital Thread: Implementation
- Advanced Manufacturing Process Analysis
- Intelligent Machining
- Advanced Manufacturing Enterprise
- Cyber Security in Manufacturing
- MBSE: Model-Based Systems Engineering
- Roadmap to Success in Digital Manufacturing & Design
- Technical University of Munich - Digitalization in Aeronautics and Space Specialization
- Duke University - Nanotechnology: A Maker’s Course
Udemy
EdX
Work History
- Data Scientist
- November 2014 - Present
- Research Assistant
- June 2013 - July 2014
Languages and Tools
Languages I Use
Libraries I Use
Visualization Software
Machine Learning and Deep Learning
Big Data
Quantum Computing
Version Control
Specalized Software Experience