Benjamin Ebanks
About Benjamin Ebanks
Benjamin Ebanks is an incoming Data Science Intern with a background in computer science and artificial intelligence from the Massachusetts Institute of Technology. He has gained experience through various internships and positions in notable companies such as Two Sigma, Goldman Sachs, and Databricks.
Work at Two Sigma
Benjamin Ebanks is currently serving as an Incoming Data Science Intern at Two Sigma, a position he has held since 2023. Prior to this role, he participated in the New Seekers Summit at Two Sigma for one month in 2023. His experiences at Two Sigma have contributed to his understanding of data science and its applications in financial technology.
Experience at Goldman Sachs
In 2023, Benjamin Ebanks worked at Goldman Sachs as part of the Engineering Possibilities Summit for one month. This experience provided him with insights into engineering practices within a leading financial institution, enhancing his skills in data analysis and technology.
Educational Background
Benjamin Ebanks studied at the Massachusetts Institute of Technology (MIT), where he majored in Computer Science and Artificial Intelligence and minored in Statistics. He also attended New Explorations Into Science, Technology, and Math High School from 2017 to 2021. His educational background has equipped him with a solid foundation in quantitative analysis and problem-solving.
Internship Experience
Benjamin has gained diverse internship experience in data science and analytics. He worked as a Data Science Intern at Databricks for three months in 2022, where he developed skills in data manipulation and analysis. Additionally, he served as a Summer Analyst at axle ai, Inc. for two months in 2021, further enhancing his analytical capabilities.
Involvement in MIT Consulting Group
Since 2022, Benjamin Ebanks has been a Business Analyst at the MIT Consulting Group. In this role, he applies his analytical skills to provide consulting services, contributing to various projects and initiatives that require data-driven decision-making.