Key responsibilities and achievements:- Build dashboards & reports: Creation of dashboards, maps and charts using different tools, as Data Studio, Python + Plotly, Amplitude.- Provide insight and analysis to decision making: Performed statistical analysis of users’ preferences and path of the current the app. Results serves the team to improve decision making within the development of the new 29K App. Implementation of AB testing to improve in-app donations. The learnings contributed to improve conversion from 1.3% to 7.55%.- Analyse data & define actionable insights for improvement: Behavioral analysis of users (cohort and lifetime) in App using statistical analysis and machine learning in BigQuery and DataStudio. Results allows identification of target groups to support marketing surveys.

Researcher in the field of environmental comfort: Assessment and prediction of the user satisfaction in the design of the built environment. Energy consultant for various Brazilian companies on energy efficiency.• Development of field studies for quali- and quantitative analysis.• Random sampling, anonymization, preparing questionnaires, training teams for interview and field measurements, • Setting factorial design experiment to study the join effect of variables influence on the thermal performance of Brazilian buildings. Evaluation using Analysis of Variance (ANOVA) tests.• Classification of Brazilian cities in terms of its demands of cooling or heating. Collection, treatment, and analysis of 60 years of weather data from all meteorological stations in Brazil. • Analysis and clustering of Brazilian climates using k-means

PhD in Nuclear and Energy Engineering. Research theme: Estimation and projection of energy use in urban areas. • Processing of big data with SPSS and visualization of geodata in ArcGIS• Socioeconomic stratification of the population to create a consumer profile from Census database• Decomposition analysis of electricity consumption to evaluate the variation and its forecast for the residential sector for the period 1990-2010

Development of projections for estimation of energy consumption, for the cities of Joao Pessoa and Belo Horizonte, Brazil. The results were presented in the book "Plano de Ação João Pessoa Sustentável"• Processing of big data with SPSS and visualization of geodata in ArcGIS• Collect data from public authorities to improve data quality • Socioeconomic stratification of the population • Modelling energy consumption inside cities using different regression models and projection • Development of maps as indicators for sustainable development

Responsible for courses on climate, indoor climate, and acoustics at Architectural Education.