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Work Background
Banco ItaúCientista de Dados II
Sep. 2025
Banco ItaúCientista de Dados II
Sep. 2025
Governo do Estado de São PauloCientista de Dados | Secretaria Estadual da Educação
May. 2024- Extensive Exploratory Data Analysis (EDA) on student performance, attendance, and assessment indicators to uncover patterns and support policy decisions. - Developed and monitored educational KPIs to track learning outcomes, dropout risks, school infrastructure demands, and program effectiveness. - Applied statistical techniques (correlation, hypothesis testing, regression) to evaluate the impact of educational interventions and resource allocation. - Conducted time series analysis to model trends in longitudinal educational indicators. - Designed data pipelines in Databricks using PySpark to process large-scale educational data from raw to refined and gold layers. -Designed and implemented data quality strategies leveraging DQX and DLT to monitor and enforce schema integrity, value consistency, and reliability of large-scale educational data. -Built machine learning models (Random Forest, PCA, clustering) to evaluate students performance and school clusters. - Collaborated with multidisciplinary teams (pedagogical, infrastructure, and IT departments) to translate educational needs into actionable, data-driven insights. - Built dashboards and analytical reports for stakeholders using Power BI, automating recurring analyses and visual storytelling.
dunnhumbyApplied Data Scientist
Jun. 2022 - Nov. 2023- Designed and deployed pricing and promotion models to optimize investment efficiency and improve marketing campaign performance - Conducted test-and-control experiments to measure the impact of price changes and marketing activations across retail stores. - Performed advanced data modeling and statistical analysis to support retail initiatives, with a focus on customer segmentation and behavioral insights. - Built automated dashboards and recurring reports using Power BI, delivering actionable insights to business stakeholders. - Conducted exploratory data analysis of large transactional datasets to identify consumer patterns and guide decision-making. - Collaborated cross-functionally with commercial and analytics teams to translate complex business questions into analytical solutions. - Supported the development of a reproducible and collaborative codebase through version control (Git) and code standardization. - Contributed to the automation of ETL processes, creation of analytical datasets, and data quality improvements across projects. - Used PySpark and GCP to build scalable machine learning pipelines
dunnhumbyApplied Data Scientist
Jun. 2022 - Nov. 2023- Designed and deployed pricing and promotion models to optimize investment efficiency and improve marketing campaign performance
- Conducted test-and-control experiments to measure the impact of price changes and marketing activations across retail stores.
- Data modeling and statistical analysis to support retail initiatives, with a focus on customer segmentation and behavioral insights.
- Built automated dashboards and recurring reports using Power BI, delivering actionable insights to business stakeholders.
- Conducted exploratory data analysis of large transactional datasets to identify consumer patterns and guide decision-making.
- Collaborated cross-functionally with commercial and analytics teams to translate business questions into analytical solutions.
- Supported the development of a reproducible and collaborative codebase through version control (Git) and code standardization.
- Contributed to the automation of ETL processes, creation of analytical datasets, and data quality improvements across projects.
- Used PySpark and GCP to build scalable machine learning pipelines
dunnhumbyAssociate Applied Data Scientist
Apr. 2021 - Jun. 2022Brazil- Collaborated cross-functionally with commercial and analytics teams to translate complex business challenges into data-driven solutions. - Performed advanced data modeling and statistical analysis to support retail initiatives, particularly around customer segmentation. - Conducted test-and-control experiments to evaluate the impact of marketing activations and pricing & promotion strategies at store level. - Built and deployed pricing and promotion models to optimize investment efficiency and improve campaign performance. - Delivered actionable insights to business stakeholders through customized dashboards and automated reports using Power BI.
dunnhumbyData Science Intern
Apr. 2020 - Apr. 2021- Automation of data extraction and transformation processes using Linux scripts and ETL tools. - Creation and maintenance of dashboards for KPI visualization using Power BI - exploratory data analysis of transacitonal retail data, focusing on understanding consumer behaivor
dunnhumbyInsights Intern
Mar. 2019 - Mar. 2020
dunnhumbyAssociate Applied Data Scientist
Mar. 2019 - Jun. 2022- Collaborated cross-functionally with commercial and analytics teams to translate complex business challenges into data-driven solutions. - Performed advanced data modeling and statistical analysis to support retail initiatives, particularly around customer segmentation. - Conducted test-and-control experiments to evaluate the impact of marketing activations and pricing & promotion strategies at store level. - Built and deployed pricing and promotion models to optimize investment efficiency and improve campaign performance. - Delivered actionable insights to business stakeholders through customized dashboards and automated reports using Power BI.
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