David Scott Email & Phone Number

CMS/CCSQ Data Strategy development.AI Implementation Lead for Tantus’ InsightsAI product

Worldwide, OO

• Multiple roles developing Artificial Intelligence (AI) products, including:
• AI Implementation Lead for CMS/CMMI Risk Score Methodology Development project
• Lead AI/Data Science practitioner for Deloitte’s AI for Medical Records product development team.
• Co-developer of AI for Medical Records Text Analytics Platform
• Solutions Architect, Deloitte AI Exploration Lab AI Rapid Development team

Lexington Park, MD, US

Lead role responsible for development of Data Science applications for NSI products and services, and oversite and development of the Data Science and Simulation & Modeling teams within NSI. Supporter and Developer of Supply Chain analytic models. Agile Development scrum-master for large and complex analytics projects with multiple workflows and complex.

Montreal, Quebec, CA

Data Scientist with CGI-Federal’s US Social Security Administration (SSA) client. Developed end-to-end productivity models for annual performance evaluation of key SSA professional personnel. The work included extensive model feature development of many challenging work categories, development of the mathematical models in SAS, through customer acceptance.

Catonsville, Maryland, US

Data Scientist responsible for key aspects of operational analytics pertaining to RELI's role as a CMS Medicare Risk-Adjustment Data Validation (RADV) consulting contractor, including development foundational data and methods to apply NLP models to Medicare Part C fraud detection. Compose analytics-related narrative within RELI's responses to various CMS.

Morrisville, NC, US

Data Analytics Consultant playing key role in team responsible for building provider web portal, to measure and visualize provider performance as measured by patient health gaps, quality outcome benchmarks, enrollment patterns, and financial performance; for a major Blues plan in the Northeast US. Role includes extensive development in the SAS and.

Maryland Heights, Missouri, US

Data Scientist responsible for measuring, analyzing, understanding, predicting and communicating key findings related to patient health measurement outcomes and associated costs, for Major Mid-Atlantic Health System associated with one of Maryland’s largest Hospital networks.Work included quarterly reporting of primary care outcome measures to Health.

'Big Data' analytics consulting within the healthcare, telecommunications, insurance, retail apparel, oil & gas, and financial services industries, and Federal Government; data visualization, model creation, validation, and customer live and webinar presentations, using SAS, R, Python, and SAP Predictive Analysis software.

Bowie, MD, US

Lead role in MedAssurant's STAR Outcomes Forecasting, Disease Management Product Analysis, Client Health Outcomes Evaluation, Health Risk Adjustment evaluation, actuarial calculations (i.e., Medical and Pharmaceutical claims lag estimation, data integrity statistical tests, etc.), developed a sales commission model.

I was responsible for Highmark's disease management product analysis, palliative care program analysis, as well as RADV patient member gap analysis; for which I used SAS Enterprise Miner. I also was responsible for ROI and other financial impacts of our client's health risk using DxCG risk score data, and actuarial calculations of client risk exposure.

Chattanooga, TN, US

SAS programming for provider report cards and evaluation of Managed Care products. Developed programming for the calculation of various large-scale member survey analyses.