Technical leader and data scientist with expertise in machine learning, geospatial analysis, visualization, and data mining. Focused on applying data science in healthcare to provide insights driven by clinical data combined with social determinants of health and the broader health context that impacts personal health outcomes.Leadership and management experience:▪ Design and delivery of healthcare products leveraging AI and machine learning technology▪ Create and evolve data informed enterprise strategy ▪ Managed agile teams including data scientists, data architects, and data warehousing▪ Developed and mentored junior and principal data scientists▪ Established road maps and deliver real-world data science, advanced analytics, and business intelligence▪ Seasoned leader with experience directing in-house, on-shore, and off-shore resources Data science and advanced analytics accomplishments:▪ Predictive models for risk assessment and patient ranking using random forest and logistic regression with production integration into a data warehouse and medical record▪ Natural Language Processing (NLP) for analysis of survey comments. Developed domain specific algorithm for parts of speech, negation, key phrases, and sentiment scoring, and hierarchical clustering. Customer sentiment cloud visualization and interactive dashboard▪ Machine learning / unsupervised modeling to deliver customer and provider segmentation leveraging hierarchical clustering with neural network based self-organizing maps▪ Predictive model for analysis of physician capacity, stressors, and burnout▪ Comprehensive exploratory analysis and modeling of patient segments and segmentation of physicians for risk management, outcome optimization, market expansion▪ Geospatial analysis of market supply and demand using proprietary kernel density modeling algorithm to identify trade areas, site locations, and demographics presented via interactive multi-dimensional maps▪ Applied advanced analytics to optimize scaling and capacity of e-commerce systems involving linear regression, stochastic modeling, and queueing theory to reduce licensing fees and hardware costs