About me

I received my Ph.D. in Economics from INSPER (Institute of Education and Research, Sao Paulo, Brazil) in May 2023. I have also received my Bachelor’s (in Management) and Master’s Degree (Finance, Economics, and Econometrics) from the University of Sao Paulo (USP, Sao Paulo, Brazil). During my academic period, when I acquired an extensive hypothesis-driven research and problem-solving expertise in data wrangling, statistical/econometric analysis, and model development, my research was focused at the intersection between Corporate Finance and Financial Intermediation. More specifically, I studied how market frictions affect firms’ financing and investment decisions and the implications of these imperfections regarding managerial action, firms’ future outcomes, and market responses.

Throughout my academic journey, data in its diverse formats has been an integral part of my daily activities — a constant that will persist. I started writing my first few lines of code when I discovered DataCamp and enrolled in my first R programming course. Initially daunted by the complexity and the sheer shift from user-interface schemes, such as Excel, to programming languages, I found solace in the vibrant and supportive community spread in forum threads, StackOverflow pages, lecture notes, among other publicly shared materials - the companion for each and every aspiring programmer long before rise of generative AI.

With a strong academic foundation in economics — particularly in corporate finance and econometrics — I’ve developed deep expertise in econometric modeling, time-series forecasting, and causal inference. My research and coursework have sharpened my ability to analyze complex datasets, uncover meaningful patterns, and apply rigorous empirical methods to real-world problems. Complementing this analytical background, my hands-on programming experience with tools like Python, R, and SQL enables me to build scalable data pipelines, implement statistical models, and deliver actionable insights. This blend of theoretical depth and technical proficiency positions me to bridge the gap between academic research and practical, data-driven solutions.

All in all, from what I can say, there’s really nothing that could make me happier in my profession – I hope this page explains why.

Private Affiliations

Currently, I work as a Lead Econometrician and Data Scientist at The Chamberlain Group (a Blackstone company). Chamberlain makes access simple, smart, and secure through the use of reliable, intelligent access solutions for residential and commercial environments. Millions of people rely on our brands’ technology every day to move safely and secure through their homes, communities, workspaces, and businesses.

As a Lead Econometrician, my work entails developing, implementing, and refining econometric models to assess market demand, applying econometric models on a large scale, forecasting revenue across diverse business units and markets, implementing Marketing Mix Models (MMM), and assessing internal/external drivers of business performance.

Prior to my current role, I worked as as Data Scientist Consultant at Circana (former IRI + NPD), the world’s most extensive data analytics and market research company, focusing on the Marketing Marketing Modeling (MMM). Circana provides clients with consumer, shopper, and retail market intelligence and analysis focused on the consumer packaged goods, retail, and healthcare industries.

Academic Affiliations

I am also affiliated to Getulio Vargas Foundation (FGV - EAESP) as a Lecturer of Finance in the Accounting, Finance, and Control Department. FGV is a leading university in Latin America, providing an enriching learning environment for those seeking to excel in the areas of Business Management, Economics, Communication, and International Relations, both in the public and private sectors. I am also a visiting professor in the School of Economics and Business at the University of Navarra.