Jerrick Gerald
About Jerrick Gerald
Jerrick Gerald is a Machine Learning Researcher currently affiliated with The George Washington University. He has a background in data science and has contributed to research on urban poverty using geospatial data.
Current Role as Machine Learning Researcher
Jerrick Gerald is currently employed as a Machine Learning Researcher at The George Washington University. He has held this position since 2024, contributing to various research initiatives in the Washington DC-Baltimore Area. His work focuses on applying machine learning techniques to solve complex problems in data science.
Previous Experience in Data Science
Prior to his current role, Jerrick Gerald gained valuable experience as a Data Scientist Intern at Nippon Paint India in 2023, where he worked for two months. He also interned at BU Soft Tech as a Machine Learning Intern in 2021 for two months. Additionally, he served as a Machine Learning Researcher at Solarillion Foundation from 2019 to 2022, where he developed skills in machine learning applications.
Education and Expertise
Jerrick Gerald completed his Bachelor of Engineering in Computer Science at the College of Engineering, Guindy, from 2018 to 2022. He is currently pursuing a Master's degree in Data Science at The George Washington University, expected to be completed in 2024. His educational background provides a strong foundation in both theoretical and practical aspects of data science and machine learning.
Research Contributions to Urban Poverty
Jerrick Gerald has contributed to research focused on urban poverty, particularly through a project funded by the European Space Agency and IDEAMAPS. He developed a methodology utilizing sentinel geospatial data to map deprived areas, which played a significant role in analyzing urban poverty in Lagos, Nigeria. This research highlights his ability to apply data science to real-world issues.
Advisement and Collaboration
In his current role at The George Washington University, Jerrick Gerald works under the advisement of Professor Edwin Lo. This collaboration allows him to engage in advanced research projects and further develop his expertise in machine learning and data science.