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Guilherme Prokisch has a diverse work experience in various roles and industries. In 2015, they worked as a Business Intelligence Analyst at Glassdoor Brasil where they focused on data analysis and user profiling. In 2016, they joined Alibaba Group as a Software Engineer and later became a Product Manager, contributing to the operation sector of machine learning solutions and conducting market analysis for the Brazilian market. In 2018, they worked as a Software Engineer at Geru before co-founding Jobike, a micromobility solution company in Bangladesh, where they managed a tech team and successfully acquired 100K users in just 8 months. From 2019 to 2021, they worked as a Data Science Specialist at Movva, utilizing their skills in data analysis and prediction models. Additionally, during the same period, they served as a Research Assistant at the University of Zurich, focusing on data wrangling, API integration, and creating dashboards and visualization panels. Currently, they are working as a Data Engineer at kununu.

Guilherme Prokisch began their education journey in 2012 when they enrolled at USP - Universidade de São Paulo. Guilherme pursued a Bachelor's degree in Applied Mathematics and completed their studies in 2016. During this time, their field of study focused on Applied Mathematics.

In 2017, Guilherme further expanded their knowledge by completing the Deep Learning Nano Degree program at Udacity. Additionally, they attended the University of Toronto in the same year to pursue a course on Neural Networks for Machine Learning.

In 2012, Guilherme also participated in an exchange program at the Universidad de Valladolid, where they focused on Dynamic System Modeling in Mathematics.

Aside from their formal education, Guilherme has obtained several certifications. In 2015, they achieved the HSK II certification in Chinese language proficiency from the Ministry of Education of the People's Republic of China. Guilherme also holds certifications in Distributed Machine Learning with Apache Spark, Machine Learning for Time Series Data in Python, Model Validation, and Supervised Learning, although the specific details of when and where they obtained these certifications are not provided.