— Media Hero is a martech start-up that provides marketing mix modeling solutions to optimize client budget allocation through machine learning and AI.— Responsible for onboarding 3+ new clients, regularly interacting with them to understand their business strategies, marketing investments, and targets.— Performed a meta-analysis of all clients' data to uncover trends in marketing investment, identifying which media vehicle works better for each industry sector, and reporting those findings to some media vehicle teams.— Responsible for automating dashboard design and data analysis processes to reduce client onboarding time.— Interacts with data scientists, engineers, and developers to propose improvements in data extraction, transformation, loading, storage, and visualization.— Develop new features in the product based on internal plans and customer requests to improve the recommendations for marketing investment allocation.— Main clients: Nubank, oBoticário.

— Publicis Groupe is one of the world's leading marketing companies and has a significant market share in Brazil's advertising industry.— Developed a solution with Power BI to monitor over R$1B of media investment managed by Publicis Groupe and track revenue generation of over R$100M via incentive plans. This solution increased revenue by an estimated 5%.— Responsible for implementing Deepo, Publicis Groupe’s media data management tool, on more than 15 clients: modeled, configured, and automated data extraction according to each client's needs.— Proposed new features for Deepo, gathering requirements and testing whether they were suitable for production. As a result, this reduced onboarding time from 3 months to less than 2 weeks — Promoted a new business front by providing tagging consultancy services using Google Tag Manager for 3 new clients, demonstrating autonomy and proactivity.— Introduced SQL as a tool to analyze consumption patterns at CDP Treasure Data, later migrating these analyses to Google BigQuery, reducing by 50% the time needed to carry out exploratory analyses.— Developed more than 30 dashboards using Looker, Metabase, and Power BI.— Main clients: AmBev, Nestlé, and Nivea.

— Held responsibility for the agency's ETL and data analysis, with a portfolio of around 15 clients.— Fine-tuned data extractions in Supermetrics, reducing the incidence of extraction errors by more than 50%.— Streamlined transformations in Power Query, reducing dashboard update times by around 30%.— Developed more than 20 dashboards in Power BI, customizing data visualization to each client's needs.— Developed measures in DAX to analyze the evolution of the main performance indicators, emphasizing measures for comparing KPIs weekly, monthly, and yearly.— Designed website measurement paradigm for more than 10 clients and implemented data collection using Google Tag Manager, including the initial configuration of Google Analytics 4.— Performed customer segmentation (RFM and Cohort) using Google Analytics data.— Demonstrated crisis management skills dealing with unforeseen delivery problems for clients.— Applied agile methods to gather requirements, obtain feedback, and organize deliveries for each client.— Main clients: Insper, MedSystems, and Embelleze.

— Developed a numerical model in Fortran to simulate the effect of clusters on phase transformation kinetics.— Carried out extensive data analysis based on the numerical model results.— Presented papers at 5 scientific conferences and published two articles on phase transformation phenomena in a journal.— Completed an internship in Programming and Numerical Methods classes, with more than 50 students.— Demonstrated his oratory, communication, and didactic skills while delivering classes.— Wrote a dissertation on the subject based on the results found.

— Developed a computer vision algorithm to extract data on the movement of objects and people in the footage of experiments carried out in the laboratory.— Implemented the algorithm using MATLAB to integrate other codes developed by the laboratory.— The data and visualizations generated helped with at least one master's thesis.

— Studied various disciplines related to engineering with computational aid.— Conducted numerical experiments to model fluid dynamics inside a combustion engine.— Used Python to analyze and visualize the data obtained in the experiments.— Demonstrated independence, autonomy, and adaptability during his time abroad.