Data Science and Advanced Analytics Manager in EDA's Enterprise Artificial Intelligence.In a global environment, I am a proven AI leader, focusing on DS and ML. In my current role, I lead new development with numerous AI teams supporting numerous business units. I improve our stakeholder engagement and develop new machine learning business use cases that enhance sales and marketing. When needed, I lead new business relevant R&D. My teams create value in increased sales, recovered revenue, and cutting edge targeted marketing. I remain the principal author of Python's updated shapwaterfall for local interpretability of ML classification models.

Lead Research Data Scientist in EDA's Data Sciences and Advanced Analytics.In a global environment, I improve our Machine Learning Delivery Teams' products, conduct difficult business relevant research, and publish cutting edge research. In this role, I have identified the top 5 to 10% of customers who account for 90% or more of the revenue in multiple VMware products. I am the principal author of Python's shapwaterfall for local interpretability of ML classification models. At the moment, I am tackling a big data anomaly detection problem with keras tensorflow autoencoder solutions.

Enabling Customer Success in the Financial Services Industry through the use of Azure Advanced Analytics and Artificial Intelligence solutions to solve real-world business problems.

Lead data design and implementation of a nationwide trade promotion optimization tool for global consumer packaged goods and beverage company.Worked with Accenture on an application modernization project for the world's largest manufacturer of construction and mining equipment.

Programmed a C-based SPI Wifi module for data transfer on the chip used in the tablet Developed a UART-based C program to control signal transfer Tested and tuned the chip's I2C communication for device detection and charging