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Tassiane Anzolin

@tassianeanzolin

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Data analyst at Sicredi who automated 6+ processes, saving 350+ hours of manual work annually.

Brazil

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At Sicredi, I automated 6+ processes with UiPath and Python, saving 350+ hours of manual work per year. I also connected legacy systems and applications through APIs and used corporate data for analysis.

My work spans data analysis and AI products: I used Python and SQL for data work, and at StartSe I developed interactive event kiosks integrating AI models. I’m pursuing a master’s at UTFPR, where my research applies interpretable machine learning to soybean microbiomes.

Experience

Work history, roles, and key accomplishments

Estagiária em Desenvolvimento Mobile

StartSe

Apr 2024 - Sep 2024 (5 months)

Developed and maintained 3+ Flutter/Dart applications for an executive education platform in AI and innovation, working in Scrum teams. Built interactive totems for in-person AI events end-to-end, including prompt engineering, backend integration with models, and interface.

Flutter Dart Scrum Prompt Engineering Backend Integrations UI Development

Assistente de Desenvolvimento de Sistemas

Sicredi

Aug 2022 - Apr 2024 (1 year 8 months)

Automated 6+ processes with RPA (UiPath + Python), saving 350+ hours/year of manual work. Integrated 4+ legacy systems and 20+ applications via APIs in Python, C#, and VB.NET for banking operations, and created automated tests with Selenium.

Robotic Process Automation UI Path Python C#VB.NET API Integration Selenium Denodo Data Analysis

Pesquisadora em Visão Computacional

Embrapa

Oct 2020 - Sep 2021 (11 months)

Developed fruit detection models using YOLO and OpenCV for automatic apple counting, saving 100+ hours per harvest.

Computer Vision YOLO OpenCV Object Detection Image Processing

Education

Degrees, certifications, and relevant coursework

Universidade Tecnológica Federal do Paraná

Mestrado, Tecnologias Computacionais para o Agronegócio

Grade: 10.0/10

Activities and societies: Dissertation on soybean microbiome with interpretable machine learning, supported by Applied Statistics and Artificial Intelligence courses.

Master's degree in Computational Technologies for Agribusiness, with a thesis on soybean microbiome using interpretable machine learning. Achieved a GPA of 10.0/10.