Alexandre Petrachini
About Alexandre Petrachini
Alexandre Petrachini is a Machine Learning Engineer at Gaiascope, Inc. in Boston, Massachusetts, with a background in data science and computer science, having previously worked at Macfor Marketing and Anheuser-Busch InBev.
Work at Gaiascope
Alexandre Petrachini has been employed at Gaiascope, Inc. as a Machine Learning Engineer since 2021. He is based in Boston, Massachusetts, and has been with the company for three years. His role involves developing and integrating machine learning models to enhance the company's data-driven initiatives.
Education and Expertise
Alexandre Petrachini studied at ETEC - Escola Técnica Estadual de São Paulo, where he earned a Technician degree in Informatics from 2014 to 2017. He furthered his education at Universidade Estadual de Campinas, achieving a Bachelor's degree in Computer Science from 2018 to 2023. His academic background provides a strong foundation in data science and machine learning.
Background in Data Science
Before joining Gaiascope, Alexandre worked at Macfor Marketing as a Junior Data Scientist from 2019 to 2020. He integrated machine learning models for daily operations, including LTV clustering and neural network classification. He also created and tested sales and product analyses for a major perfumery chain in Brazil.
Professional Experience in Data Engineering
Alexandre has experience as a Data Engineer at Anheuser-Busch InBev from 2020 to 2022. He also worked as an Undergraduate Research Assistant at Universidade Estadual de Campinas from 2020 to 2021. His roles involved implementing NLP approaches in customer support and delivering a complete ETL pipeline using APIs and Google BigQuery.
Achievements in Marketing Analytics
During his tenure at Macfor Marketing, Alexandre led the technology and growth hacking team. He increased sales by 80% for a clothing and accessories network through data-driven strategies. He delivered over 100 business metrics and automated internal processes to improve the accuracy of business and marketing metrics calculations.