Luis Gustavo Dalla Stella

Luis Gustavo Dalla Stella has a diverse work experience in the field of data engineering and data science. Luis Gustavo is currently working at Padoa as a Data Engineer, focusing on Site Reliability. Prior to this, they held two roles at Padoa as a Data Engineer, specializing in Business Intelligence.

Before joining Padoa, Luis worked as a Data Scientist at BNP Paribas, where they led the development and deployment of a tool for data quality assessment. Luis Gustavo also developed a quantitative method based on time series forecasting using Python.

Luis also gained experience as a Data Scientist at DreamQuark, a FinTech company, where they built an autoencoder-based recommender system and a data aggregation pipeline for financial services using Python, PyTorch, Pandas, and Scikit-learn.

Additionally, they worked as a Software Engineer at Padoa, a HealthTech start-up, where they were involved in full-stack development using Angular/TypeScript and Express/Node.

Luis started their career as a Teaching & Research Assistant at Universidade de São Paulo, where they taught various mathematical subjects and studied the applications of mathematics and statistics to quantum mechanics.

Overall, Luis Gustavo Dalla Stella has a strong background in data engineering and data science, with experience in site reliability, business intelligence, and developing tools for data quality assessment and recommender systems.

Luis Gustavo Dalla Stella completed their education in a chronological order as follows:

From 2013 to 2016, they attended USP - Universidade de São Paulo, where they pursued a Bachelor of Science degree in Physics.

Following that, from 2016 to 2020, they attended École Polytechnique and earned both a Bachelor of Science and a Master of Science degree (Diplôme d'ingénieur) in Applied Mathematics.

Lastly, in 2020 and 2021, they enrolled in Sorbonne Université and completed a Master of Science degree in Computer Science.