A Data Science graduate with advanced studies in Computer Science, possessing a robust background in data analysis and the implementation of technological solutions within the real estate sector. Professional experience encompasses roles involving data-driven projects and educational initiatives, including teaching positions and internships within municipal and federal government entities. Contributed to international literature on technology in healthcare and has delivered workshops globally. Demonstrates rapid acquisition of new skills and processes, leading to exceptional performance in various professional settings. Adept in programming languages such as Python, Ruby, C#, and Javascript, with substantial experience in SQL, Power BI, and SQL Server.

 at FGV - Fundação Getulio Vargas
2/1/2018

 at SENAI (National Service for Industrial Training)
2012 - 2012

 at Descomplica Digital College
2023 - 2025

 at Descomplica Digital College
2023 - 2027

 at Newton Paiva University Center
2014 - 2019


8/1/2021 - Present

Responsible for data extraction to support analysis by decision-makers, significantly contributing to data-driven strategies. Created corporate dashboards that provided comprehensive insights and facilitated rapid decision-making processes. Developed scripts for efficient data extraction from various external sources, ensuring the availability of relevant data for analysis. Automated repetitive tasks using Power Automate to enhance efficiency and reduce manual labor, thereby streamlining workflow operations.


5/1/2021 - 3/1/2022

Specialized in market intelligence and data analysis, with responsibilities that encompassed the collection and analysis of commercial data, and strategic analysis of competition. Developed skills in the identification of data and commercial strategies to achieve target results. Played a pivotal role in lead generation within pre-defined macro-regions and defined strategic approaches to convert leads into sales. Proficient in creating and presenting commercial dashboards and monitoring commercial indicators. Actively reported analysis findings to the commercial department to identify opportunities for work optimization. Automated commercial tasks through dashboards created in Power BI, and streamlined daily demands by developing a CRM system using Python. Oversaw the commercial tasks performed by all department members to ensure consistency and efficiency.

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