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Raleigh, North Carolina, United States

Managed efforts for a team of internal analysts to develop new, algorithmic fraud detection solutions.Developed a formalized framework for internal machine learning efforts with the purpose of explaining our approach to our client and external business partners. Messaging focused on a commitment to transparency and quality, with an emphasis on providing.

Raleigh, North Carolina, United States

Raleigh-Durham, North Carolina Area

Collaborated with clients to identify the biggest areas of opportunity within existing data ecosystems and develop short- and long-term strategic analytic road maps.Managed offshore analytics team focused on delivering machine learning solutions; projects focused on predicting consumer behavior to increase brand engagement, lead conversion, or customer.

Baltimore, Maryland Area

Provided strategic leadership on a growing analytics team tasked with developing fraud detection models. Supplied thought leadership on new model development, including a new approach aimed at identifying healthcare providers with billing patterns lacking expected variance (i.e., too consistent); presented ideas to client and received positive feedback for.

Greensboro/Winston-Salem, North Carolina Area

Promoted to manage full life cycle of analytics work as day-to-day client point of contact; responsibilities included a) providing consultative guidance to shape analytics road maps, b) managing execution of agreed-upon deliverables, and c) presenting results to clients.Executed every project with the same goal of providing value beyond simple, aggregated.

Greensboro/Winston-Salem, North Carolina Area

Performed analysis and provided insights to help shape clients’ direct marketing strategies. Findings were used in developing a wide range of solutions including campaign optimization, expansion of digital reach, and improvement of customer experiences on client websites.Recognized with the company’s “Rising Star” award, which honors employees for.

Harrisburg, Pennsylvania Area

Promoted to position to oversee and improve operations of a data analysis subcontractor consisting of 6 analysts. Specific tasks involved oversight (i.e., assigning, monitoring, and reviewing) of data projects and data requests related to Medicare Part D. Developed SAS programs to import and analyze Medicare Part D data. These programs allowed the.

Harrisburg, Pennsylvania Area

Proactively analyzed New York Medicare and Medicaid data to detect potential fraud, waste, and abuse in both programs. Statistical analysis methods included outlier detection of providers based on various fraud schemes, including: aberrant billing of various medical procedures, overutilization of beneficiaries, and billing of services that were not.