I’m a big data and information theory kind of a guy with a background in electrical and computer engineering and computer science. I have practical experience and understanding of Deep Learning, Machine Learning, and statistical modeling techniques. I have an emphasis on detection, estimation, and classification systems within the context of image processing and large geographic information system data sets. I have in-depth knowledge of both supervised and unsupervised learning techniques, including, clustering, linear regression, SVM, decision trees, random forests, boosting, neural networks, LDA, and deep learning. Data Science and practical engineering are my passions. I look forward to applying my knowledge and experience for both professional and personal projects.
This site is meant to explore some of these topics but my resume and linked in profile can be found here: