- Developed and maintained statistical algorithms to analyze borrower health and performance in distressed economic climates. Outputs were used to recommend terms for prospective borrowers.- Developed and managed data infrastructure for querying, cleaning, and analyzing financial analytics for a private-credit fund.- Deployed and maintained a cloud-based dashboarding tool for financial personnel to create and visualize analytics, charts, and graphs.

- Invented and led execution of data-driven solutions to automate reservoir engineering forecasts for well planning and reserves estimation.- Built and led team of data scientists, ML engineers, and subject-matter experts to deliver data-driven ML solutions to the Oil & Gas industry.- Worked closely with the product team to enable users to interpret ML forecasts and insights via Shapley values as a key industry differentiator.- Provided thought leadership by partnering with customers on 10+ industry-focused white papers, magazine articles, conference presentations, and patents.- Patented our product's ML forecasting techniques based on customer recommendations.

The official Deep Learning meetup in Austin, Texas. Deep learning offers exciting solutions to an array of computer vision, natural language processing, and other data science problems, made possible by faster computing, richer data sets, and open source frameworks. We invite talks from machine learners and data scientists applying deep learning to solve problems along with tutorials and lessons learned. Talks are open to all Deep Learning frameworks (e.g., TensorFlow, Keras, PyTorch, etc.) Please, no sales pitches. If you would like to sponsor our meetup or give a talk, please let us know.

­– Applied machine learning and multivariate statistical methods to genomic and proteomic data.– Constructed clustering evaluation and validation methods for microarray and proteomic data.– Employed supervised, semi-supervised, unsupervised, and active learning methods along with semi-supervised clustering with large data sets to incorporate subject matter expertise for improved performance and understanding of data.

– Course: Elementary Statistics– Taught this freshman level course in the Statistics Department.– Developed homework, quizzes and exams for the class.– Attended weekly meetings to enhance and improve teaching skills and techniques.

– Supplemental instruction for the course: Statistics for Psychology Majors.– Led weekly course seminars.­– Provided one-on-one and group tutoring to students in undergraduate statistics courses in Statistics Department Tutoring Lab.