Peter Olayemi

Role: Data Scientist Ii at Sift Healthcare
Location: Denver, CO, US
LinkedIn followers: 500 followers

Information TechnologyView LinkedIn profile

Experience

Data Scientist Ii
Sift Healthcare
Aug 2024 — Present
Developed machine learning models to enhance healthcare debt collection strategies, improving client recommendations. • Implemented reinforcement learning techniques to optimize patient contact methods, resulting in increased engagement. • Collaborated with cross-functional teams to analyze data trends, leading to a 25% reduction in collection timeframes.

Contact information

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Current company

Sift Healthcare

Hospitals and Health Care · 48 employees · Founded 2017 · Milwaukee, Wisconsin, United States

Sift Healthcare helps health systems reduce reimbursement risk by transforming complex revenue cycle data into clear, actionable intelligence. Hospitals lose billions each year to denied claims, downgrades, underpayments, and post-payment takebacks. Most organizations still rely on retrospective reporting and manual analysis to understand what happened, often long after revenue has already been lost. Sift\'s RevProtect platform analyzes financial, operational, and clinical signals across the payment lifecycle to identify the patterns that lead to adverse payment outcomes. Using advanced AI, Sift surfaces the encounters, workflows, and payer behaviors most likely to impact reimbursement so teams can focus their efforts where it matters most. Health systems use Sift to: • Prevent high-risk denials before claims are submitted • Prioritize A/R recovery using predictive reimbursement intelligence • Detect payer behavior shifts and emerging reimbursement risks • Deliver targeted operational insights across revenue cycle teams By connecting data across systems and translating it into role-specific, actionable guidance, Sift helps revenue cycle leaders move to proactive financial performance management. Sift Healthcare partners with leading health systems and technology platforms to bring intelligence, automation, and clarity to one of healthcare’s most complex financial challenges.

sifthealthcare.com

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Experience

Data Scientist Ii

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