Create content to support facilitators in the Machine Learning certificate program, including facilitation guides, best practices, and live session starter material. In addition, review, edit, and create content for new and existing courses and certificates.

Online professional certificate courses in Data Science and Machine Learning:* Serve as a subject matter expert* Provide experience-based connection between course material and real-world work environments* Develop materials for live office hours and tutoring sessions to support enrolled students* Support message boards, FAQ, Q&A, and assignments* Grade assignments and provide feedback

Teach technical Data Science courses that involve math, statistical analysis, Python programming, and R (https://www.slu.edu/medicine/health-and-clinical-outcomes-research/degrees/health-data-science-ms/index.php)

* Team responsibilities focused on using state-of-the-art NLP processes and tools to improve the accuracy of chatbot responses for a variety of clients.* Developed and enhanced a Python application that ingests text from client documentation and web content and automatically generates question and answer pairs.* Developed a Flask app to automatically generate test questions based on previously collected inquiries for training and validation.* Developed a Flask app to determine if a new chatbot response is highly similar to one or more existing responses using Google’s Universal Sentence Encoder.* Developed a categorization system by generating a fastText model using pre-labeled text.* Developed document mining process to segment text into distinct topics. * Developed document scanning process to determine themes and extract summary sentences. Improved pre-parse ETL processes to remove extraneous symbols, punctuation, and formatting artifacts, resulting in improvements in topic segmentation, summary extraction, and header/body identification.

• Lead Data Scientist for military project to automate analysis of large volumes of classified data for anomaly detection.• Tested Spark + Livy for REST API-based NER application back end. Upon discovering structural issues preventing successful implementation, worked with a cloud engineer to reconfigure application using R + Plumber, AWS Auto Scaling, and SQS to create a self-scaling, self-healing application architecture. • Developed NER application that ingests a corpus, converts various file formats to text, and identifies various entity types including persons, locations, organizations, dates, license plates, and phone numbers. Upon complete evaluation, generates Sankey diagrams based on user-defined search terms to show relationships among entities and documents. • Developed predictive models and proof of concept application to determine if flight connections will be lost, including evaluation of hub airports, carriers, and weather data, as well as the likelihood of connecting flight delays. • Developed predictive models for air freight data to determine likelihood of on-time package delivery, including evaluation of routes, customer behavior, and seasonality variables.• Created user-friendly dashboards for an IoT system that uses wireless sensors to trigger real-time notifications based on the physical location of a user. • Project lead for the implementation of the Unisys Analytics Platform (UAP). Coordinated a team of data scientists, analysts, data engineers, and Hadoop administrators.• Developed a Shiny application with text processing functionality including sentence recognition, text search, word frequency, persona-based output, and word cloud generation.

• Led teams of up to 12 developers, editors, and QA staff.• Scoped and managed large development projects, including timelines, budgets, and outputs.• Communicated project status to key stakeholders according to defined project plans.• Deployed training programs to thousands of locations and tens of thousands of users.• Worked with cross-functional and distributed teams, including Director-level stakeholders, contract production resources, and IT departments.