Mariana Rodrigues
About Mariana Rodrigues
Mariana Rodrigues is a Performance Optimization Manager at Branch, where she has worked since 2020. She has a diverse background in account management and marketing, with previous roles at AVOW GmbH, Koneo Mobile, and Lado Z, among others.
Current Role at Branch
Mariana Rodrigues serves as the Performance Optimization Manager at Branch, a position she has held since 2020. In this role, she is responsible for optimizing performance metrics and enhancing operational efficiency. She leads and trains new team members, ensuring they are equipped with the necessary skills and knowledge to succeed. Her work focuses on developing strategies that improve performance outcomes for the organization.
Previous Experience in Account Management
Prior to her current role, Mariana worked at AVOW GmbH as a Senior Account Manager for eight months in 2019. She also held a position at Glispa, where she served as a Senior Account Manager for four months in 2019 and as an Account Manager for one year from 2017 to 2018. Her experience in account management has provided her with a strong foundation in client relations and performance metrics.
Marketing and Management Background
Mariana has a background in marketing, having worked as a Marketing Manager at Lado Z from 2013 to 2015. This role allowed her to develop skills in marketing strategy and campaign management. Additionally, she served as a Campaign Analyst at Glispa from 2016 to 2017, where she gained experience in analyzing campaign performance and optimizing marketing efforts.
Educational Qualifications
Mariana Rodrigues holds a Bachelor of Arts in Marketing and Advertising from Universidade Católica de Santos, which she completed from 2008 to 2011. She furthered her education with a Nanodegree in Predictive Analytics from Udacity in 2020. Most recently, she obtained a Postgraduate MBA in Analytics and Data Science from Universidade de São Paulo, completing her studies in 2023.
Technical Skills and Projects
Mariana has led machine learning projects that focus on prediction and classification using Python, specifically employing the sklearn and statsmodel packages. She has implemented API integrations and automation projects utilizing Google Scripts and Python. Her technical skills include conducting linear regression analysis and decision tree modeling as part of her machine learning initiatives.