Joseph Eddy
About Joseph Eddy
Joseph Eddy is a Lead Data Scientist with extensive experience in data analysis and machine learning. He has worked at various organizations, including Crossix Solutions, Credit Suisse, and Metis, and currently holds a position at The TIE since 2022.
Work at The TIE
Joseph Eddy serves as the Lead Data Scientist at The TIE, a position he has held since 2022. In this role, he focuses on applying advanced data science techniques to enhance the company's analytical capabilities. His responsibilities include developing models and algorithms that support decision-making processes within the organization.
Previous Experience in Data Science
Prior to his current role, Joseph Eddy worked at Elementus as Lead Data Scientist for six months in 2021. He contributed to building a team of experts in blockchain and graph data. Before Elementus, he spent four years at Metis as a Senior Data Scientist, where he developed and delivered a data science training curriculum and supervised numerous student projects.
Experience in Marketing Data Analysis
Joseph Eddy began his career as a Marketing Data Analyst at Crossix Solutions, where he worked for seven months in 2014. This role provided him with foundational experience in data analysis within the marketing sector. He later transitioned to Credit Suisse as an Equity Research Associate, a position he held for two years from 2015 to 2017.
Education and Expertise
Joseph Eddy earned a Bachelor's degree in Mathematics from Columbia University in the City of New York, completing his studies from 2010 to 2014. His academic background laid the groundwork for his expertise in data science and machine learning, which he has applied throughout his career.
Kaggle Competitions and Personal Projects
Joseph Eddy is recognized as a competitions master in Kaggle competitions, showcasing his skills in data science and machine learning. He has also constructed a GitHub repository focused on neural network techniques for time series forecasting, reflecting his commitment to ongoing learning and sharing knowledge in the field.