Innovation: (1) Developed explainable AI and what-if analyses to identify high-cost areas, (2) Created ML-supported risk adjustment techniques for providers, (3) Introduced GenBI technologies, enhancing client insights, (4) Managed creation of new ML deployment to AWS endpoints, ensuring security, licensing, and scalability for cost-effective projects, (5) Utilized causal inference with X-learners to assess ROI, finding 10x improvements, (6) Developed Agentic GenAI Healthcare Advisor to support client decision making, (7) Lead Agentic RAG based rules conflict manager supporting new rule developmentManagement: (1) Designed a JIRA ticket structure to improve output by 50%, (2) Established document management practices saving ~10 per week, (3) Implemented Bitbucket/Git best practices, slashing time to prototype by 75%, (4) Streamlined the product development lifecycle, moving three long-standing projects into production within 6 months, (5) Led feature store development, reducing time to prototype by 5x, (6) Supported 5+ data science RFPsLeadership: (1) Developed business use cases for ML and AI models, aligning project goals with business outcomes to decrease time-to-market by 4x, (2) Created data governance and feature store policies, reducing prototype time by 5x, (3) Supported MLOps development, implementing automation throughout the product lifecycle, (4) Developed go-to-market plans by translating data science processes into video content, blog posts, and white papers, (5) Served as SME in 5+ LinkedIn Live sessions / blog posts, (6) Serve as Acting Chief Analytics Officer (CAO) during the CAO's absence, (7) Designed and leads ML / AI prototyping process using multiple tools (PowerBi, Tableau, QuickSights) decreasing to product completion by 50%

Demonstrated teaching and time management skills by (1) used simulations and non-parametric analyses to develop a technical training manual increasing trainee knowledge by 40%, (2) validated new patient healthcare outcome measure, resulting in a manual and a publication within 2 months, (3) used Amazon Mechanical Turk to develop training data similar to RAG process Showed innovation skills by developing ML-based risk adjustment comparison methodology for behavioral health, resulting in a new client product within 2 months Showed initiative by using causal inference / machine learning techniques (e.g., propensity score matching, multi-level modeling, NLP) with large public data sets and EMR data, resulting in a publication, 5 conference presentations, and 2 federal contract proposals

Acquired project management skills by presenting the latest data science industry trends at the Annual Advisory Council Meeting, keeping the University's programs current and relevantHoned strategic planning skills by proposing improvements to adapt and extend academic programs, aligning them with evolving industry requirements, and ensuring graduates are job-readyStrengthened policy-making skills by recommending actionable policies to maintain or enhance the University's academic standards, contributing to the institution's standing at the forefront of educational and industry practices

Gained communication skills by mentoring several students in data science fundamentals and guiding Python programming, statistical analysis, and machine learning algorithms to enhance their proficiency and career prospects in the fieldImproved mentoring skills by empathically listening and providing concrete career advice on interviewing, LinkedIn, and resume developmentGained teaching skills by leading students through real-world data science projects, emphasizing best practices in data cleaning, feature engineering, and model evaluation

Showed project management skills by leading / supporting the entire agile process, such as stakeholder requirement gathering, creating release notes, story development, and backlog refinement, improving the team’s velocity by 25% Gained leadership skills by helping identify, design, and support team members on long-term strategic initiatives such as patient and employee journeys and dashboard effectiveness / refresh, resulting in (1) pain point identification and reduction and (2) better dashboard alignment with the organization's strategic objectivesShowed data governance skills by working with our team to develop new enterprise data architecture and git SQL integration as well as roadmap development and maintenance, increasing robustness against vendor / priority changes (e.g., new EMR, HR systems)

Demonstrated leadership skills by building longitudinal patient outcome and call center end-to-end ML pipelines using Python, Azure, and SQL with software engineering best practices (e.g., unit testing, git, mlflow, Docker, crontab), using XGBoost, LightGBM, PyTorch, and with Shapley values to ensure high quality, reproducible and explainable results, displayed in PowerBI / Streamlit demonstrating insights at the aggregate and patient level Showed business acumen by (1) building demand planning / forecasting (e.g., patient visits, extended hours, IT ticket, call center) models supporting operations, (2) cluster analysis to support marketing in patient segmentation, (3) employee retention prediction models and text analyses (Topic Modeling, Zero-Shot analyses) improving retention, (4) call center text analytics / NLP (e.g., topic summarization / transformers, classification, sentiment / emotion analysis) identifying pain points, and (5) using machine learning and causal inference to evaluate clinical (e.g., telehealth, substance use) and marketing outcomes resulting in conference / C-Suite presentations, marketing materials, and white papersDemonstrated innovation through (1) market sizing, multivariate testing, and attribution models to support expansion, (2) canceled appointment / days in treatment / call retention xAI models to improve patient retention, (3) outlier detection to identify business compliance (e.g., adverse events, CPT codes), (4) article / email subject click prediction app to improve email campaigns, (5) resume job description app to increase HR job matching, and (6) fine-tuned LLM prototype IT chatbot (GPT-2) and created self-service LLM (Llama 2) data analyst

Showed innovation by creating a new predictive modeling technique combining machine learning (XGBoost) and artificial intelligence improving actionability and developed forecasting models supporting business outcomes Improved change management skills by supporting cross-functional teams across businesses to implement data engineering best practices (e.g., git, SCRUM, job scheduling) increasing project speed and accuracy Showed ability to learn quickly by learning Linux to maintain and develop new machine learning / predictive modeling pipelines and package development in R within two weeks

Showed data engineering skills by leading a cross-functional team from inception to data product connecting dispersed data using SQL and ETL (e.g., EHR, Business Objects, Salesforce, CISCO, Oracle) resulting in user-friendly data products in Qlik and RShiny Showed innovation by creating a statistical function using linear and non-linear models and NLP / deep learning (e.g., sentiment analysis, BERT) / text mining saving the business $5,000+ in external consulting fees Demonstrated business acumen skills by helping develop yearly road maps and service line plans for research methods, designing, implementing, and analyzing (e.g., key drivers analysis) customer engagement surveys

Gained teamwork skills by co-leading a company-wide telehealth statistical analysis (e.g., causal inference, Bayesian analysis) evaluating health outcomes using EHR data resulting in contributions to policy briefs and a congressional testimonial completed within 3 months Demonstrated creative problem solving skills by using EHR data to develop accurate (75%) machine learning algorithms in python for suicide attempts and translating them into user-friendly applicationsResults-oriented mindset demonstrated through power /simulation / statistical analyses of randomized controlled trials resulting in 10+ technical reports, proposal submissions, and paper / conference presentations

Showed risk management skills during transition periods and COVID-19 with 2 to 10 direct reports by (1) moving ~50% of staff into new roles, (2) doubling the internship program, and (3) automating reporting, resulting in a 50%+ reduction in errors and hiring time Demonstrated client-facing skills by analyzing health outcomes from large data sources (e.g., EHR, CDC, ICD codes) using advanced statistical weighting and survival analysis to evaluate company’s flagship healthcare program Showed strategic planning skills by leading a team of 5 to create a new SQL Access database and automated reporting algorithms resulting in reduced data entry and errors completed within 2 months

Led statistical analyses for validating 9 new patient reported healthcare assessments supporting companywide treatment programs and 4+ million in funding Used teamwork skills by partnering with clients and clinicians to identifying barriers through data visualizations, machine learning, and Bayesian analysis resulting in 2 conference presentations and an outcome measure Demonstrated ability to meet grant requirements, by maintaining a 90%+ reassessment rate for all required SAMHSA grants for 3+ years

Demonstrated project management skills by taking a leadership role in statistical analyses, budget, proposal, and timeline development for two school districts resulting in a $1.1 million grantShowed creative problem solving by developing 2 new statistical approaches to client monitoring resulting in a publication and national conference presentation Showed collaboration skills by engaging stakeholders in an evaluation and quality improvement process through interviews, focus groups, observations, and surveys resulting in a report with actionable recommendations for improvement

Improved mental health / equity knowledge, by receiving training in supporting youth with serious mental illnesses and co-occurring disorders using best practices in trauma informed care and de-escalation techniquesGained negotiation skills by applying trauma-informed and crisis management training resulting in the de-escalation of conflictsGained technical skills by using My Maps (Google GIS) to create web application showing all Safe Place sites in Monroe County

Gained problem-solving skills by creating videos and providing flexible hours to support student growth Showed emotional intelligence skills by using empathic listening to support struggling students Improved coaching skills by developing a grading system to enhance student’s understanding of errors in incorrect answers