Elder Pinzon, PhD
About Elder Pinzon, PhD
Elder Pinzon, PhD, is a Data Science Manager at Achievers in Toronto, Ontario, where he has worked since 2020. He has extensive experience in machine learning and data science, having previously held positions at JUDI.AI and York University.
Work at Achievers
Elder Pinzon has been serving as a Data Science Manager at Achievers since 2020. In this role, he coordinates the development of software aimed at categorizing financial transactions. He utilizes natural language processing (NLP) and machine learning (ML) forecasting techniques to extract insights and credit risk indicators. His contributions enhance the organization's ability to analyze financial data effectively.
Previous Experience at JUDI.AI
Prior to his current position, Elder Pinzon worked as the Manager of Data Science at JUDI.AI from 2018 to 2020. During his tenure, he successfully developed a credit rating model for small and medium-sized businesses (SMBs) in the US market. This model employed machine learning techniques, including logistic regression, support vector machines (SVM), and XGBoost, facilitating market expansion for the company.
Academic Background
Elder Pinzon earned his Bachelor's Degree in Physics from Universidad Nacional de Colombia, where he studied from 2006 to 2010. He later pursued a PhD in Experimental High Energy Physics at York University, completing his studies from 2011 to 2017. His academic background provides a strong foundation for his work in data science and analytics.
Research and Teaching Experience
Elder Pinzon has extensive research experience, having worked as a Research Assistant at York University from 2011 to 2018. He also served as a Teaching Assistant at Universidad Nacional de Colombia for five months in 2011. His roles in academia involved contributing to research projects and supporting educational initiatives.
Contributions to Data Science Community
Elder Pinzon has made significant contributions to the data science community. He participated in the 'HackOnData-2016' hackathon in Toronto, demonstrating his skills in data science and innovation. Additionally, he has published first-author papers in peer-reviewed journals, contributing to the academic discourse in his field.