Rebecca Myers
About Rebecca Myers
Rebecca Myers is a Data Scientist with a strong background in computer science, holding both a Bachelor of Science and a Master of Science from Indiana University. She has experience in various roles, including Data Science Intern and Research Scientist Lead, and is currently employed at Handshake.
Work at Handshake
Rebecca Myers has been employed at Handshake as a Data Scientist since 2022. In this role, she focuses on building models that support efforts to democratize opportunity and connect students to their desired career fields. Her work aims to enhance accessibility to job opportunities for students from diverse backgrounds.
Previous Experience in Data Science
Prior to her current position, Rebecca Myers worked at the Indiana University Luddy School of Informatics, Computing, and Engineering as a Research Scientist Lead in Natural Language Processing (NLP) from 2020 to 2022. She also served as a Data Science Intern at Handshake in 2021 for two months. Earlier in her career, she gained experience as a Data Analyst Intern at Cheddar in 2018 and as an IT Intern at the O'Neill School of Public and Environmental Affairs in 2019.
Education and Expertise
Rebecca Myers holds both a Bachelor of Science and a Master of Science in Computer Science from Indiana University Bloomington. She completed her undergraduate studies from 2017 to 2020 and her graduate studies from 2020 to 2021. Her academic background provides her with a solid foundation in data science and computational methodologies.
Background
Rebecca Myers began her professional journey in Bloomington, Indiana, where she completed internships that contributed to her expertise in data science and analytics. Her early experiences included roles at Cheddar and the O'Neill School of Public and Environmental Affairs, which helped shape her career in data-driven decision-making.
Commitment to Student Opportunities
Rebecca Myers has been actively involved in initiatives aimed at connecting students to career opportunities. She focuses on building models that support these efforts, ensuring that students from various backgrounds have access to the resources necessary to pursue their dream jobs.