William Uyasan
About William Uyasan
William Uyasan is a data scientist with extensive experience in statistical analysis and project management. He has worked at various organizations, including BNP Paribas and BairesDev, and holds multiple degrees in statistics and business administration.
Work at BairesDev
William Uyasan has been employed at BairesDev as a Data Scientist since 2021. He has accumulated three years of experience in this role while working from Colombia. His responsibilities include implementing analytical models and utilizing his expertise in various data science methodologies.
Previous Experience in Data Science
Before joining BairesDev, William Uyasan worked at BNP Paribas as a Data Scientist for two years, from 2019 to 2021, in Bogotá, Colombia. He also held positions at Telefónica as a Professional in Big Data and Analytics for six years, and at IBOPE Media as a Senior Statistician for four years. His diverse experience has contributed to his proficiency in data analysis and statistical methods.
Education and Expertise
William Uyasan has a solid educational background in statistics and business management. He studied at Universidad Nacional de Colombia, earning a Professional degree in Statistics from 2001 to 2006. He also obtained a Master of Business Administration (MBA) in Project Management from Universidade de São Paulo from 2018 to 2020, and a Master’s Degree in Big Data and Business Intelligence from Synergic Partners (Columbia University) in 2016.
Statistical Skills and Methodologies
William Uyasan possesses a wide range of skills in statistical methodologies. His expertise includes Time Series Analysis, Experimental Design, Regression Methods, Quality Control, Non-Parametric Statistics, Market Research, and Actuarial Calculations. He is knowledgeable in both probabilistic and non-probabilistic sampling methods, which enhances his analytical capabilities.
Communication and Presentation Skills
William Uyasan is recognized for his strong communication skills, both oral and written. He has a talent for preparing and delivering presentations, ensuring clarity and conciseness in conveying results. His ability to engage audiences effectively complements his technical expertise in data science.