During my tenure as a Research Assistant, I focused on identifying fraudulent activities within Mutual Fund Dealers Association (MFDA Canada) data, employing advanced methodologies such as Record Linkage, Exact Matching, and Fuzzy Matching to remove duplicates and enhance data accuracy. Additionally, I applied trend analysis and pattern recognition techniques to scrutinize data relationships, pinpoint anomalies, and ensure alignment with business objectives.Detected fraudulent activities in MFDA Canada data using Record Linkage, Exact Matching, and Fuzzy MatchingRemoved duplicates and enhanced data accuracyConducted trend analysis and pattern recognition to identify anomaliesEnsured alignment of data analysis with business requirements

In my role as Associate Manager Data Analyst at Optum, I spearheaded the Provider Education project, conducting comprehensive analyses of over 10,000 healthcare providers' behavioral changes post-education. This initiative led to a notable 12% reduction in non-compliant claims and generated savings of $112 million. Additionally, I orchestrated the seamless migration of data from Oracle to Hive, resulting in a 25% reduction in maintenance costs and a significant enhancement in operational efficiency. By minimizing query execution time from 24 to 11 hours, I ensured data integrity while optimizing resource allocation for streamlined processes and improved outcomes.Led Provider Education project resulting in 12% reduction in non-compliant claims and $112 million savingsMigrated data from Oracle to Hive, cutting maintenance costs by 25% and reducing query execution time from 24 to 11 hoursConducted comprehensive analyses of healthcare providers' behavioural changes post-educationEnsured minimal impact on data integrity during the migration processOptimized resource allocation for enhanced operational efficiency

During my tenure at Optum, I led initiatives that significantly reduced financial losses by 20% through the creation of a comprehensive Oracle database accessed via SAS, employing advanced analytics like Real-time Monitoring and Anomaly Detection. Additionally, I designed and implemented a task allocation tool, reducing assignment time by 30%, and developed customized Tableau dashboards for real-time performance tracking. My expertise in SAS, Excel, and Tableau optimized resource allocation, enhanced team productivity, and facilitated informed decision-making, contributing to operational excellence and organizational success.

As a versatile professional, I have had the opportunity to work on various aspects of client onboarding and platform provisioning, specializing in Defined Contributions, Defined Benefits, and Healthcare management. In this role, I served as both a Business Analyst and a Data Analyst, allowing me to contribute to different facets of the project lifecycle.Utilizing my expertise in data analysis, I efficiently leveraged SAS on Mainframe to generate insightful banking client reports. Additionally, I orchestrated Unix Batch jobs to streamline processes and enhance operational efficiency.One of my key responsibilities involved performing rigorous quality testing procedures to ensure the reliability and effectiveness of implemented features. Through meticulous testing and attention to detail, I earned recognition for my contributions to accuracy and speed, further solidifying my commitment to delivering high-quality outcomes.With AonHewitt my experience in client onboarding, combined with my proficiency in data analysis and quality assurance, has equipped me with a unique skill set to drive success in diverse project environments.