PROFILE +55 (86) 9 9996-1191 +54 1137575129 isaac050587@gmail.com ISAAC BARROS DATA SCIENTIST | DATA ANALYST | MACHINE LEARNING ENGINEER I look for opportunities that are aligned with the objective of integrating Rua Roxo Moreira, 1332, Campinas, SP Isaac Barros | Kaggle Linkedin REALIZATIONS Business analyzes that brought visibility to important segments of the company, a front focused on the area of data and analysis in a company. To this end, I am interested in working with the area in data driven companies, being able to add technical learning, as well as interdisciplinarity and relationships with other teams. EXPERIENCE DATA ANALYST - 2023 Méliuz resulted in savings of hundreds of R$ for the Responsible for the company's large partner segment, leading analyses, company's customers. supervising performance, monitoring alerts and detecting problems, which resulted in savings of hundreds of R$. Responsible for the large e-commerce Process automation and optimization, via SQL, Google Sheets, Python, partner segment, leading analyses, Metabase, and Google Cloud, working with dashboards, APIs and code supervising performance and detecting versioning, in addition to working with agile methodologies such as problems in critical periods (Black Fridays, Scrum and Jira. Christmas, etc.). Also experience in implementing and executing agile methodologies to improve DATA ANALYST INTERN - (2021 TO 2023) Méliuz operational efficiency, and quarterly results Responsible for developing data analysis, paid acquisition strategies, presentations, aligned with the OKRs results dashboards and monitoring, in addition to implementing tests framework. in financial services to optimize processes. Analysis using SQL, Google Analytics, Appsflyer and Google Sheets, Actively meet in English with international aiming to grow different lines of business, improve products and partners. launch features. 2 months of professional exchange at a startup, in Buenos Aires – Argentina. MACHINE LEARNING RESEARCHER – (2019 - 2021) GRASI - Automation and Intelligent Systems Group Scientific research focused on prediction via machine learning and EDUCATION MASTER'S STUDENT IN COMPUTER ENGINEERING data collected through sensors to analyze the risk of falling in elderly patients. In the end, the research was expanded and transformed into a monograph for course completion work. State University of Campinas - UNICAMP Researcher in machine learning and data science. BACHELOR ELECTRICAL ENGINEERING Federal University of Piauí - UFPI Scientific Initiation Student (PIBIC) at CNPQ, in the field of machine learning applied to pattern analysis and classification of health data (electromyography). COMPLEMENTARY Development of data science projects, from pipeline development, statistical and descriptive analyses, machine learning models and final visualizations. Practice with processing, manipulating data and dashboards with Metabase and Power BI. Programming in Python, Javascript, and automations via Google Apps Script and Google Sheets, in addition to SQL. Experience in Clouding Computing with Google Cloud, knowledge in LANGUAGES Well-developed English and Spanish (reading articles, writing and speaking, as well as videos without subtitles). AWS and practice with code deployment. Projects and research focused on machine learning via supervised and unsupervised pattern recognition and learning algorithms.
