Working in Datalab as data science leader building products focused in healthcare and auto insurance.

Key Responsabilities:• Leadership in analytical development for Fraud Score, Identity Verification, and compliance products (Identification of politically exposed persons and their associates).• Development of new features, enhancements to existing features, and acting as a focal point with partner teams (IT and Products) to ensure the quality of defined concepts in the production environment.• Responsible for monitoring monthly data received from vendors based on contract rules through automated reports.• Participation in corporate activities such as involvement in action plans for improving the work environment, recruitment, diversity & inclusion, social programs, and informal events aimed at fostering a positive work atmosphere.

Key Responsabilities:• Responsible for centralizing data within the health vertical, including data from occupational, dental, and health products; utilizing GCP and AWS platforms.• Leadership in creating and maintaining dashboards with managerial information and analytical studies involving medical account data that adds value to the health vertical.• Modeling for the creation and maintenance of statistical models for the business, including forecasting high-cost patients, scoring health providers focused on outliers and anomalies in medical accounts, and detecting chronic patients for internal capture and follow-up.• Experience in managing data science (2 resources) and indicators teams (6 resources), with direct contact with leaders from partner areas and executive management.

Key Responsibilities:• Responsible for transferring knowledge from an analytics consultancy to the internal team, including data manipulation, statistical models, and managerial reports. • Identification of opportunities focusing on cost reduction and prevention of abuse in medical accounts of healthcare providers, including hospitals, clinics, laboratories, and the proprietary network. • Statistical modeling using machine learning methods to identify high-cost beneficiaries or those with a high probability of hospitalization. • Direct engagement with leaders of peer areas, identifying opportunities, and executing projects through data, bringing tangible gains to the company.

- Generation of specification documents for models, attributes and segmentation for IT automation;- Experience in severity/frequency modeling for theft and total loss in the auto insurance industry;- Direct contact with customers and autonomy to carry out activities, aligning expectations and communicating results to headquarters in Atlanta-GA USA.

Statistical studies with healthcare data using the TISS/TUSS standard providing ad-hoc analysis for clients (large operators in the health sector);• Building management reports involving exams, therapies (SADT), emergency room, hospitalizations, generating relavant financial impact;• Segmentation of Health Claims, generation of attributes, and modeling to detect outliers in medical claims in order to identify possible abuse, fraud or waste in the management of healthcare providers (labs, offices and hospitals);

Production of statistical bulletin and technical notes involving the report "justice in numbers" of the National Council of Justice. Monitoring, calculation and monthly conference of goals of the judiciary. Elaboration of studies of a technical nature, such as: distribution of work force in the judiciary of the state of Ceará (2016), evaluation of the impact of judicial centers for conflict resolution and citizenship.

Worked as a statistical Modeler Intern developing a tool to produce gains charts based on auto insurance scores, Programming in R, SAS, and Pentaho data integration tool.