Andressa Bruna Costa
About Andressa Bruna Costa
Andressa Bruna Costa is a Product Analyst currently working at A Thinking Ape in Vancouver, Canada. She has a background in data science and analytics, with previous roles at notable companies such as Nubank and Agibank in Brazil.
Current Role at A Thinking Ape
Andressa Bruna Costa has been employed as a Product Analyst at A Thinking Ape since 2020. In this role, she utilizes her analytical skills to contribute to product development and strategy. Her responsibilities include analyzing data to inform decision-making processes and enhance user experience within the gaming industry.
Previous Experience in Financial Services
Prior to her current position, Andressa worked in various roles within the financial sector. She served as a Risk Management Assistant at Lojas Renner S.A. from 2015 to 2016. Additionally, she held positions at Agibank, including Senior Data Science Analyst, Credit Monitoring Analyst, and Junior Fraud Prevention Analyst, from 2016 to 2019. Her experience in these roles provided her with a strong foundation in data analysis and risk management.
Educational Background in Business Analytics and Statistics
Andressa holds a Master of Business Administration (MBA) in Business Analytics from the Federal University of Rio Grande do Sul, which she completed from 2018 to 2020. She also earned a Bachelor's degree in Statistics from the same university, studying from 2010 to 2015. This educational background equipped her with the necessary skills for data analysis and interpretation.
Internship Experience and Early Career
Andressa began her professional journey with several internships. She worked as an Intern at SIQUEIRA CAMPOS ASSOCIADOS in 2012 for 11 months, followed by an internship at Planalto Encomendas in 2013. She also held a Financial Assistant position at Planalto Encomendas in 2014. These early experiences contributed to her understanding of financial operations and analytics.
Technical Skills in Data Analysis
Andressa has extensive experience in creating charts and dashboards that facilitate data-driven decision-making. She has developed prediction and classification models using programming languages and tools such as R, SQL, and Spark SQL in Scala. These technical skills are essential for her role in analyzing product performance and user engagement.