Delivery of informative, real-time, relevant, and interactive reporting tools, visualization efficient data delivering pipelines. Improve behavioral risk care management in the form of increased visibility, patient behavioral incidents.Analytic pipelines which prioritize providing measurable and visibility to are informed by each of; real-time patient behavior data collected by facility staff, advanced machine learning and statistical workflows, clinical trial data sources, MDS guidelines, user-friendly documentation, interactive dashboards, and extensive interviews and input by behavioral health experts.Workflows made effective use of each of the following: R and Python programming, SQL, Apache Spark, H2O.ai, Power BI, and limited Java and Scala for deploying and testing production models.

Developed participant profiles for endurance competitions and events (marathons, triathlons, ironman competitions, etc.). These profiles augment Active's ability to equip organizers with informed marketing information, and information resources for participants.Innumerable opportunities to discover insights through machine learning methods. Enormous volume of data, participants ranging from extremely competitive to casual participants, event participation rate range from 600-30,000. 15 years of historical data, with over 20,000 annual events and thousands of participants per event.

(Remote)Steered A/B and multivariate experimental designs and identification of quantifiable metrics and measures. Developed workflows for analyses that allowed parallel initiatives to study feedback signals that allowed for regular reports and adaptations. Design of experiment (DOE) and analyses for end-user experience for marketing initiatives.This role was particularly satisfying in that team collaboration enthusiastically developed a culture of testing developed within the team, as insights built upon earlier insight, and user flows were available for added perspectives for real value while recognizing and accounting for key statistical inference parameters.

Developed and deployed market performance models for Deere's Canadian market of Turf sales. These models assist Deere’s strategic sales in Canadian market; ie: how does supply compare to demand (match demand, underperform, over-saturate) in each district, city, and region of Canada for turf products (everything from lawn mowers to sports utility vehicles) Data sources include large and unstructured GIS spatial data for Canada, 20 years of historical Deere’s Canadian sales data for dozens of pruduct lines within turf product lines, and Canadian Census data.

Analysis, reporting, and quality assurance for Providigm’s suite of managed care software, Abaqis. Abaqis manages the care of hundreds of thousands of US nursing home patients and adopted by thousands of nursing homes nationwide.The most pressing requirements involved adapting the existing version designed for American requirements to the specifications of the Ontario Ministry of Health. Canadian facilities. Performed quality assurance and quantitative analysis for data collected during first Ontario trials as experimental designs to show the efficacy of the product, which the software proofs of concept could meet the specifications as decided by Ontario's Ministry of Health.

DOE developed for electrical grid cooperative that provides electric service to over 40,000 residents in Northern CO. Experimental design provided to compare the measurable impact of two approaches to incentivize customer participation during the highly disruptive and disproportionately expensive peak electrical grid demand hours of the year. Developed an innovative clustering approach while analyzing PVREA's historical monthly usage data which managed to separate 4 distinct home grouping, in which homes within each group exhibited very similar patterns of high energy demand to the other homes within their group, but substantially different patterns from the homes in the other groups. This was essential to the experimental design, as the measurable effects we were studying for short time periods would not be overwhelmed by influences such as differences in home size and family size.

Software developer for the application that guides New York nursing staff through monitoring its patients for defined, observable health symptoms. The specifications were defined by NY State's health officials..NET development, using C# and SQL Server. Business logic and business object design. Involved in entire software development life-cycle, from the specification, business logic design, software development, SQL, testing and tier-2 support of the deployed application.

My team was one of multiple IBM's Global Services IT teams responsible for managing the problem solving and pushing for standardization, in addition to the culture meeting each contractual requirements for IBM’s corporate clients. Our team focused on Honeywell and Johnson & Johnson.Produced applications for in-house automation activities such as knowledge base updates. Developed and updated legacy software applications. The dynamic technical requirements of these two corporate clients needed an ability to rapidly find and resolve technical solutions and bottlenecks affecting data management. Business level bilingual fluency in Spanish and English was necessary for our group as many client locations are in Latin America.