Benjamin Tovar Cisneros
About Benjamin Tovar Cisneros
Benjamin Tovar Cisneros is a Senior Data Scientist with over six years of experience in the FinTech and E-Learning sectors. He has worked at various organizations, including Credijusto.com and Intact, and holds a Master of Science in Computer Science from Tecnológico de Monterrey.
Work at Intact Financial Corporation
Benjamin Tovar Cisneros has been employed as a Senior Data Scientist at Intact Financial Corporation since 2021. He is based in Montreal, Quebec, Canada, where he contributes to various data science initiatives. His role involves providing technical leadership for data science projects, leveraging his extensive experience in the field.
Previous Experience at Credijusto.com
Prior to his current position, Benjamin worked at Credijusto.com as a Senior Data Scientist from 2019 to 2021. During his two years in the Mexico City Metropolitan Area, he focused on developing data-driven solutions for the FinTech sector, enhancing credit assessment processes.
Education and Expertise
Benjamin holds a Master of Science (M.Sc.) in Computer Science from Tecnológico de Monterrey, where he studied from 2013 to 2014. He also earned a Bachelor of Science (B.Sc.) in Biotechnology from Universidad Autónoma de Nuevo León, completing his degree from 2008 to 2012. His educational background supports his expertise in data science and bioinformatics.
Background in Data Science
Benjamin has over six years of experience in data science, specifically within the FinTech and E-Learning sectors. His career includes roles at Konfio, where he served as both a Data Scientist and Senior Data Scientist, and as a Bioinformatician at Tecnológico de Monterrey and UANL. His diverse background equips him with a broad skill set in machine learning and data analysis.
Machine Learning Projects and Technical Leadership
Throughout his career, Benjamin has successfully designed and implemented end-to-end machine learning projects. These projects include applications in credit risk assessment, credit line management, client profiling and segmentation, and recommendation systems. His role often involves providing technical leadership, guiding teams in the execution of complex data science initiatives.