Laidson Paes

Laidson Paes is a seasoned data scientist with extensive experience in developing data-driven strategies, machine learning algorithms, and analytical solutions across multiple industries. Currently employed at Connexi, Laidson specializes in leveraging data lakes and implementing CI/CD workflows for machine learning projects, while also focusing on supply chain optimization and large language models. Previous experience includes roles at Closer Consulting and Insptech, where Laidson honed skills in data preparation, statistical analysis, and machine learning applications. An academic background includes a PhD in Science and various research positions, emphasizing proficiency in Python, SQL, and multiple data science frameworks and tools.