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Antonio M.
Data Analyst

Sql
Sas
Python
Bio

A seasoned Data Analyst holding a degree in Information Systems and residing in Brazil for the past two decades, originally from Boston, MA. With close to three years of experience in the data analysis domain, adept at navigating the complexities of the payments and retail industries, offering significant insights and tailored solutions for B2B operations, customer experience optimization, customer retention strategies, churn analysis, and forecasting. Demonstrates proficiency in data engineering and automation, particularly with tools such as SAS and Python. Driven by a lifelong passion for technology, constantly pursuing skill enhancement to deliver exceptional results, address complex challenges, and surpass the expectations of clients and stakeholders.

  • Business Intelligence Analyst Assistant II
    7/1/2022 - 10/1/2023

    Developed scoring algorithms aimed at identifying potential churn, successfully reducing the churn rate by 20% and decreasing customer service time by 40%. Specialized in crafting web scraping automations to enhance ETL processes.

  • Business Intelligence Assistant Analyst I
    8/1/2021 - 7/1/2022

    Developed an operational and management dashboard focused on enhancing customer retention, which resulted in a 10% reduction in the churn rate, a 40% decrease in average service time, and a 100% increase in ticket volume handled. The project leveraged frameworks and technologies such as PHP, Doctrine, and Silex. Extensive work was carried out with Ext JS 4.2, NodeJS, and Vue.js. Expertise in database management was demonstrated using PostgreSQL and MongoDB. Ensured efficient and collaborative code maintenance through SVN and Git.

  • Business Intelligence Assistant Analyst III
    10/1/2023 - Present

    Implemented statistical models for revenue forecasting utilizing Python. Enhanced scoring algorithms for potential churn identification, leading to a 40% reduction in churn rate and a 50% decrease in average service time. Optimized project workflows to increase agility in updating KPIs, achieving a 60% reduction in average execution time. Developed robust operational and managerial dashboards focused on B2B and customer retention.

  • Information Systems at Pontifical Catholic University of Minas Gerais
    2019 - 2023

  • Data Scientist at DNC School
    2024 - 2025

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