Fabricio Bertassi

Leading and managing a high-performing Data Analytics team, providing crucial support to the Insights team. Spearheading career development initiatives for analysts, conducting performance reviews, and defining career paths aligned with industry standards. Establishing and optimizing the Data Intelligence team's operations, including the design of robust procedures, KPIs, and deliverables, while c

Development of a Machine Learning model to detect fraudulent ads and customer churn. Working in multidisciplinary squads (Kanban and Scrum) collaborating with a data-driven point of view, and collaborating with KPI definitions, OKR brainstorms and development and measurement of new features and improvements. Research and deploy of external sources data that improved the quality of analysis insight

First professional focused on market data analysis of the company. Organization of more than 10 years of projects and delivered results with PowerBI and valuable insights. Development of automatic capture of competitor data. Analysis of third-party data to understand risk and opportunities.

Conducted an in-depth analysis for the Commercial and Marketing Department, identifying high-value customer segments and opportunities to enhance engagement with Atlas, leveraging advanced data analytics techniques such as machine learning to assess Lifetime Value. Utilized machine learning algorithms to segment customers based on their platform interactions, enabling targeted marketing strategies

Designed and executed A/B tests to optimize the implementation of the Cognitive Call Center at Vivo, determining the ideal customer segmentation, analyzing outcomes, and providing actionable insights to the Call Center leadership. Led the churn modeling efforts for Mobile and Broadband products, encompassing data modeling (usage, billing data, Call Center complaints, etc.) through to evaluation an

Management of the Media Mix Modeling project, focusing on measuring the performance of Mobile and Broadband campaigns, making the link between the statistical language to the business necessities. Ad-hoc projects to help sales and media areas to identify opportunities for improvement, with market knowledge, always associated with data-driven solutions and innovative approaches, for example, a Baye

Development of structural equation modeling for the Customer Satisfaction Index Research in the Customer Experience team. Clusters analysis of Pre-Paid clients to the Business Intelligence team.

Developed and deployed statistical models leveraging machine learning techniques to optimize operational efficiency across Broadband, Traditional Phone, and Cable TV services, ensuring compliance with Telecommunications regulatory requirements and minimizing customer complaints. Led end-to-end project lifecycle, from initial briefing to data mining, modeling, and presentation of findings to variou

Developed statistical models of acquisition for telecom and health insurance companies. Geoanalysis of customers from a healthcare company, generating insights for the sales area.