Michael Behr

Senior Lead Machine Learning Developer at Quarter4 Inc

Based in Waterloo, Canada

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Seniority

Manager

Department

Other

Location

Waterloo

Industry

Data Infrastructure and Analytics

Company size

5

Contact information

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Email

1 credit

m•••••••@quarter4.io

Phone

5 credits

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Background

About Michael Behr

My name's Michael!I am currently working at Quarter4 where I work as the Senior Lead AI developer and machine learning developer. My previous education/work experience was also focused on predictive modelling and applied Machine Learning, and Deep Learning research with imaging and time-series data. I am skilled and experienced in a variety of programming languages (Python, Matlab, C++, Java), Machine Learning, Deep Learning, Statistics, Biomedical Engineering, Technical Writing, Computer Vision and Medical Imaging. Due to my education and professional work experience I have developed a strong mathematical background with proficiency in linear algebra, data reduction or optimization, and multivariate statistics on large datasets. I continue to develop my strong software fundamentals, with experience developing and testing in agile development processes along with excelling at using version control.My current/previous colleagues all know me as a enthusiastic and creative problem solver, great communicator, leader and team player. Overall, I pride myself on being a successful self-learner who is able to grasp new concepts quickly and efficiently. and who is always ready for a new challenge!Software Skills- Back- and Front-end Development: Python, Matlab, C/C++, R, Go, Javascript, React, Material-UI, SQL- Technologies: Tensorflow, Scikit-Learn, OpenCV, SAT Solvers, RegEx, Firebase, NPM, Apache Thrift, Apache ZooKeeper, Apache Spark, Hadoop MapReduce- OS: Mac, Linux- Version Control: GitMachine/Deep Learning Skills- Strong technical understanding of ML/Deep Learning models, including experience building predictive models from scratch- ML Models: SVM, logistic/linear/LASSO regression, decision trees, kNN, and random forest ML- Deep Learning Models: RBF-NN, MLP, Kohonen's Self Organizing Maps, 1D CNN, 2D CNN's (image segmentation/detection), transformers, LSTM/GRU RNN's for NLP tasks (text generation) and time series- Experience with distributed computing systems including working with Apache (Zookeeper, Thrift, Spark), and Hadoop MapReduce programs working with big data- Background with time-series data and analysis, including forecastingResearch Skills and Experience- Excellent technical writing, proven by multiple publications (3 first author journal papers)- Unix command line experience- Bash scripting for research pipelines- Project management/coordination of research projects/trials- Comprehensive literature reviewshttps://github.com/MichaelBehrHave questions, or want to chat? Message me at michaelbehr13@gmail.com.

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