Data Science, Data Analytics, Information Technology and Business Intelligence Support Services.

Highly qualified and significant experience working on data analytics projects with sophisticated analytics programs. Using data to discover valuable operational insights that would otherwise remain undiscovered within raw and unconnected data.

Data management, data mining, statistical analysis, and visual analytics software experience; Including R, SAS, Python, Tableau, and D3JS. Expertise in data operations, data extractions, data transformations, and data loads (ETL). Conceptualizing and actualizing work products and process through Cross Industry Standard Process for Data Mining (CRISP-DM) development, execution, quality control, and quality assurance.

In-depth experience in Fraud, Waste, and Abuse detection in health care claims data.

Business Intelligence offerings designed to provide sophisticated analytical results in a fashion easily consumed through interactive dashboards.

Preparing and presenting findings and scientific and analytical reports and studies – translating disparate data into meaningful information.