Jon Wayland Email & Phone Number

St. Augustine, Fl, Us

Jacksonville, Florida, Us

- Accountable for all internal and external care management identification for over 3 million lives- Lead the machine learning strategy for all AI-related forums including but not limited to AI governance, the AI intake review committee, and the AI center of excellence- Authored GuideWell’s Machine Learning Enterprise Standards consisting of governance, documentation, development, and deployment best practices for all company practitioners- Created a rapid prototyping framework for developing systematic solutions for LLM use cases- Developed methodology to bucket all Florida Blue members into 1 of 6 mutually exclusive groups ranging from wellness to end of life- Created and scaled a score that identifies members who can be steered to lower-cost services for their respective condition (any and all conditions considered) by only taking into account diagnoses, service setting, and cost- Developed a risk score by leveraging CMS-defined conditions and Charlson Comorbidity Index that has been found to be as predictive as risk scores sold in the market

Jacksonville, Florida, Us

- Grew team of 1 to team of 7 full-time data scientists and engineers by proving the value of integrating data science into commercial markets initiatives- Aligned ML strategy to enterprise needs by maintaining team’s priorities with roadmaps, building trust in executives, and setting reliable expectations- Pioneered new methodology for healthcare program evaluation resulting in a decreased difference in covariate means and variance for treatment and control matches by switching from propensity to distance matching - Founded Member Funnel – enterprise ID/Strat system and integrated DB that feeds care management, commercial rewards, member website, Provider Vista (external app.), and Care Connect (internal app.)- Led end-to-end implementation on 15+ machine learning products - Predicted end-of-life (9-15 months) for advanced care program as an individual contributor using an XGBoost model with neural network-derived features (45% precision) achieving $6.5M in annual savings w/ $100k in direct admin. avoidance- Incentivized quick turnarounds with modeling competitions- Successfully convinced for multiple in-house solutions over using vendors

Jacksonville, Florida, Us

- Predicted end-of-life (9-15 months) for advanced care program as an individual contributor using an XGBoost model with neural network-derived features (45% precision) achieving $6.5M in annual savings w/ $100k in direct admin. avoidance- Managed small team of data scientists with accountability over daily member identification and stratification- Oversight on 10 models from EDA to production including mortality, potentially preventable ER, transplants (heart, liver, kidney), future cost, emerging risk, new member risk, preference-sensitive surgeries, and language preference

Jacksonville, Florida, Us

- Engineered new dynamic system in R and SQL for combining contact information, clinical data, and utilization data to craft daily worklists for over 100 clinical staff- Determined prioritization and assignment between identified members and clinical case managers- Created a program to scrape procedure codes and revision dates from over 500 medical coverage guideline documents stored as PDFs using regex

San Francisco, California, Us

- Mentored students for the discontinued Introduction to Data Science program as well as the active Data Science Career Track prep course (DSCp)- Assisted students with debugging and optimizing code in R & Python- Taught and provided guidance in statistics & probability, machine learning, data visualization, data storytelling, and careers in data science- Connected students to publicly available data in their fields of interest- Reviewed and provided feedback for resumes tailored to data science opportunities

Jacksonville, Fl, Us

- Increased provider service location accuracy by over 5% by embedding ML model into the PDM product- Identified a subset of customers with high likelihood of attrition using registration DOW, slope of transaction volume, and login patterns- Led weekly user engagement forum working alongside Availity’s UX, sales, marketing and finance teams resulting in a combined business and data driven segmentation of the user population- Created and authored internal analytics email digest showcasing significant business-relevant insights through statistical analysis, machine learning, and data mining- Led analytics engagement with information security resulting in setting up a flagging methodology by parsing through text logs and identifying rapid increases in transactions

Pittsburgh, Pennsylvania, Us

- Achieved over 80% precision on predicting future mental health claims- Identified a subset of employees with a high likelihood of returning to work longer than expected after specific short-term disability claims- Vetted HCMS Group's analytics on UPMC integrated data, contributing to UPMC WorkPartner's acquisition in 2017Supported the following products through data integration, analysis, and reporting: Medical, Pharmacy, Short Term Disability, Workers' Compensation, Leave, Wellness & Health Management, Human Resources, Socioeconomic, and Employee Satisfaction.Utilized computational tools for data manipulation/analysis:- SQL: Wrote data extraction queries for further analysis and reporting- R: Wrote programs for statistical analysis/testing, data exploration, graphical representations, predictive modeling, etc.- SAS: Wrote and updated existing programs for data structuring and reporting- Excel/VBA: Designed and automated data-driven reports and dashboards

Pittsburgh, Pennsylvania, Us

Job functions included:- Statistical models on the difference in healthcare expenditures between wellness-engaged populations and wellness-unengaged populations- Likelihood assessment on the odds of further wellness participation for members who completed a personal health review as opposed to those who haven'tDay-to-day job functions included: - Per-member-per-month (PMPM) trend analysis- Engagement within the wellness products under UPMC's Take-A-Healthy-Step incentive platform- Interaction between wellness utilization and medical/pharmacy utilizationRoutinely used tools: SQL, R, SAS, Excel/VBA

Indiana, Pa, Us

With only two 20-hour-per-week GAs offered to the MS Applied Math program, this was a highly competitive assistantship providing a 100% tuition waiver. It delivered a great deal of experience, from highly-technical skills such as statistical programming to commonly-used soft skills in industry such as consulting.- Consulted 50+ graduate students and faculty on statistical analysis, research methods and survey designs- Created and taught tutorials on using statistical software R http://www.iup.edu/arl/events/arl-workshops- on-r/ and the surveying tool Qualtrics http://www.iup.edu/arl/events/arl-workshops/- Qualtrics administrator during the 2013-2014 academic year

- Estimated pension amounts on single employer defined benefit pension plans using probabilistic models- Created an R program to assess accuracy of mortality tables on given populations

Clarion, Pa, Us

- Tutored undergraduate students in the subjects of Calculus 1 and 2 along with statistics.

Master Of Business Administration - Mba, Focus In Analytics & Entrepreneurship

Master Of Science - Ms, Applied Mathematics

Bachelor Of Science - Bs, Mathematics