Responsible for hiring all of the analytics, business intelligence and data science teams. Structuredall the new data areas in the company.Implemented the data analytics roadmap of the company, from the definition of data visualization tools to cloud services used to ingest data into statistical analysis and machine learning models.Management of the CRM squad team, focused on preventing client churn and coordinating A/Btests in order to engage clients.Leader of the anti-fraud squad, guiding a multifunctional team in order to detect suspicious clientactivities and transactions using machine learning models and statistical behavior analysis.Coordination of KPI's and OKR's throughout the company, defining each calculation methodology,as well as developing follow-up dashboards of those indicators. Presentations and next steps alignment with directors and C-level.Ad hoc analysis focus, generating data insights in order to impact decisions, building a data-driven culture.Support the team with tasks prioritization, scope definition and career guidance.Extensive use of GCP tools - BigQuery, Vertex AI and Compute Engine.Statistical data analysis using R and Python. Dashboards made in Tableau and DataStudio.Development of the MB Analytics Portal using Flask.

Guide the new Business Intelligence area, participating in the digital transformation and replacement of legacy systems and databases.Work inside business teams in order to provide both tech and commercial opinions to improve the efficiency of data projects.Responsible for extracting and transforming large amounts of data as developing and maintaining dashboards and databases used by C-level, business managers and Data Science teams.Steer Marketing and Sales projects, focused on leads generation and ROI follow-up.

Lead and grow the Data Analytics team.Work cross projects with stakeholders to ensure data driven answers are provided.Develop algorithms and prototypes for research and analysis work. Create tools in order to achieve best results in pricing strategies execution.Demand optimization involving mathematical modeling to maximize return on sales. Customer segmentation allowing an effective allocation of marketing resources and the maximization of up-selling opportunities.Identify and define problems, making sure the best solution is adopted and implemented.Expertise using Data Studio and Power Point to present solutions and projects updates and status.

Develop, refine and scale key processes to revenue management teams, providing timely estimates, updates and status.Developed the competitive pricing tool which is used to match LATAM’s price with competitors.Processes automation minimizing risks in strategies definition and execution.

Desenvolvimento de sistemas web para instituições financeiras.Foco no desenvolvimento em C#, MySQL, HTML, Javascript e JQuery.