Busayo Oyewole

• Developed and implemented interactive dashboards using Tableau and Excel to track provider and member performance metrics and cost utilization resulting in 20% increase in productivity.
• Collaborate closely with clinical departments to extract and analyze members' data for care transition processes.
• Collaborated with cross-functional teams to analyze Claims and MOR data, identifying key trends and patterns that led to implementation of targeted interventions, resulting in 15% improvement in patient outcomes
• Collaborated with key stakeholders to identify and address data quality issues, resulting in 15% reduction in data discrepancies and improving overall data accuracy for reporting purposes
• Managed and updated comprehensive database of eligible Medicaid members for transportation services, ensuring accurate and timely information for over 10,000 individuals
• Collaborated with Roundtrip's software development team to streamline data collection processes, resulting in 20% reduction in data entry errors
• Collaborated with cross-functional teams to implement new data collection and documentation protocols, resulting in 15% reduction in coding errors and improved accuracy of risk adjustment scores
• Automated weekly and monthly data deliverables for vendors by migrating queries into Plenful, resulting in 50% reduction in manual data entry
• Monitored and tracked daily error files, including 834 files, to ensure timely updates and resolution, reducing average error resolution time by 20%
• Applied proficiency in SQL and data querying to develop automated error-tracking system, increasing efficiency by accurately identifying real-time errors for immediate resolution
• Collaborated with cross-functional teams to ensure compliance with HIPAA regulations, resulting in 90% increase in data security measures
• Conducted independent analysis of provider data, identifying, and resolving discrepancies in records, resulting in 10% increase in data accuracy
• Implemented regular audits and quality checks on member eligibility data, achieving 95% accuracy rate and reducing instances of incorrect billing by 30%
• Conducted comprehensive data assessments on over 1,000 provider profiles, identifying and resolving inconsistencies and inaccuracies, resulting in data quality improvement of 95%.
• Participated in requirements meetings to understand business needs.
• Upheld security and confidentiality of documents and data within thearea of responsibility.

• Conducted monthly provider/member attribution report analysis, ensuring 100% accuracy and quality assurance
• Leveraged SQL queries and data analysis techniques to uncover critical insights about Medicare and Medicaid providers, leading to identification of cost-saving opportunities
• Collaborated with risk team leaders and stakeholders to identify correlations in at-risk enrollment behaviors, resulting in 15% reduction in fraudulent claims
• Utilized SQL queries and data analysis to uncover significant insights about Medicare and Medicaid providers, resulting in 10% increase in identifying at-risk enrollment behaviors
• Collaborated with risk team leaders and stakeholders to identify correlations in at-risk enrollment behaviors, leading to development of targeted intervention programs that reduced at-risk enrollment rates by 15%
• Reviewed business requirements and revised implementation strategies, resulting in resolution of data issues and improvement in data accuracy by 20%
• Prepared and presented monthly provider/member attribution reports, ensuring 100% accuracy and quality assurance
• Identified vital trends and patterns in Medicare and Medicaid provider data through advanced SQL queries and thorough data analysis, leading to actionable recommendations for process improvement
• Collaborated with ETL developers and database administrators to create efficient data extracts for visualizations, resulting in 20% reduction in extraction time.
• Developed required policies and procedures that reflected actual goals, tasks and workflows while meeting all regulatory compliance requirements.
• Updated and developed scripts and queries to extract and analyze data from multiple sources.

• Produced monthly reports using advanced Excel spreadsheet functions.
• Identified, analyzed and interpreted trends or patterns in complex data sets.
• Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
• Utilized data visualization tools to effectively communicate business insights.

Handled data manipulation operations like import/export data from various external file formats using SSIS.

• Prepared Business Requirement Documents (BRDs) to provide the scope of work for the technical team.

• Gathered and organized data to examine current industry trends and coordinated strategic flow of business intelligence data to users.

• Performed quality assurance to assess data and validate results and reviewed implementation statements and supporting evidence to determine the extent to which the controls were implemented, and provided comments/recommendations as needed

• Monitored and analyzed monthly and weekly reports of customer online activities, identifying trends and providing actionable insights to improve the online account manager system.

• Prepared detailed documentation for security control assessment, ensuring compliance with industry regulations and protecting sensitive customer information.

• Collaborated with the customer management team to collect and organize data for Tableau visuals, improving data visualization capabilities and enhancing decision-making processes.

• Implemented advanced Excel functions and pivot tables to generate spreadsheets and analyze data, resulting in a 30% increase in data accuracy.

• Developed interactive dashboards on Tableau Desktop to visualize complex healthcare data, enabling stakeholders to make informed decisions based on real-time insights.

• Published Tableau dashboards on the Tableau server, allowing for easy access and collaboration among cross-functional teams, resulting in a 20% reduction in reporting time.