Development of RFM analysis leveraging CRM data, automated using Apache Airflow, and made accessible through Apache Superset.Development of a product recommendation system for customers utilizing deep learning techniques within the CRM framework.Automation of total breakdown and loss analysis with reports and visualizations delivered via email and facilitated through Apache Airflow and Dash Plotly.Development of demand forecasting analysis using time series and creation of a platform to provide forecast data to those responsible for merchandise purchasing.Development of a real-time dashboard and data analysis of the logistics process for a distribution center, extracting data from WMS via Apache Airflow and presenting it in Dash Plotly.

At Unesc, I committed to leveraging technology for educational excellence. From pioneering digital document management to innovating assessment methods and conducting faculty training, my contributions significantly enhanced both teaching efficiency and student engagement.Main achievements:- Pioneering Digitalization with Tablets (since 2014): Spearheaded the use of digital tablets for document digitalization at Unesc, a forward-thinking initiative implemented long before the pandemic-induced digital shift.- Innovative Assessment Development in Physics and Mechanics: Developed unique physics and general mechanics assessments with randomized values for each student and automated grading using Moodle, enhancing educational efficiency and accuracy.- Adaptation of Self-Assessment Methodology for Group Evaluations: Successfully adapted and implemented a self-assessment methodology for group evaluations, resulting in high approval rates and widespread popularity among students.- Technology Training for Faculty: Led diverse technology courses for fellow faculty members, covering Wolfram Cloud, digital tablets, Moodle, and more, contributing to the upskilling of the university's academic staff.

At AGPR5, I spearheaded challenging projects in machine learning and data engineering, delivering solutions that significantly improved production processes and set new benchmarks for operational efficiency in the industry.- Developed Real-Time Quality Control Application: Led the creation of an innovative application for real-time monitoring of dosage process quality, enhancing operational efficiency.- Data Pipeline Development and Maintenance: Established scalable and secure data pipelines, enabling data-driven solutions and improving workflow reliability.- Quality Indicators for Dosage Processes: Developed specific quality indicators for animal feed factories' dosage processes, ensuring industry-standard compliance.- Automated Dosage System Parametrization via Machine Learning: Implemented an automated parametrization system for the dosage process using advanced machine learning techniques, resulting in higher precision and production optimization.- Dosage Simulation Development: Created a simulation tool for process parametrization in animal feed factories, enhancing accuracy and reliability in dosage processes.- Conducted Dosage System Parametrization Courses: Led courses on dosage system parametrization, sharing expertise and fostering skill development in the industry.

Physics Teacher on Courses for College Admission TestsHelping young minds to be admited in the best colleges

Research on sintering models for discrete element modelling

Physics teacher

Professor de física de curso pré-vestibular

Professor de Física de ensino médio. 2º Ano

Desenvolvimento de simulação computacional de impacto de alta velocidade contra proteção balística

Pesquisa do comportamento mecânico de fibras cerâmicas sob tração

Professor da disciplina de matemática para turmas de 6º ao 9º ano