Vina Zhu
About Vina Zhu
Vina Zhu is a Graduate Research Assistant at The George Washington University ML Lab, with a background in machine learning and data analysis. She has held various positions, including Machine Learning Engineer at BrainCo and Data Engineer at Slalom Build, and has a Master's degree in Data Processing from The George Washington University.
Work at The George Washington University
Currently, Vina Zhu serves as a Graduate Research Assistant at the GWU ML Lab, a position held since 2019. In this role, Zhu has focused on developing ETL pipelines and automating end-to-end testing processes. These initiatives aim to enhance data-driven decision-making for various stakeholders. Additionally, Zhu previously worked at The George Washington University as a Teaching Assistant from 2019 to 2020, contributing to the academic environment and supporting students in their learning.
Education and Expertise
Vina Zhu holds a Master's degree in Data Processing from The George Washington University, where studies were completed from 2018 to 2020. Prior to this, Zhu earned a Bachelor's degree in Computer Science from Rutgers University, studying from 2014 to 2018. This educational background provides a solid foundation in data analysis, machine learning, and software engineering, equipping Zhu with the necessary skills for various technical roles.
Professional Experience in Data Engineering
Since 2021, Vina Zhu has been employed as a Data Engineer at Slalom Build in Chicago, Illinois. In this capacity, Zhu applies expertise in data engineering to support business objectives. Previously, Zhu worked as a Machine Learning Engineer at BrainCo for five months in 2020, where responsibilities included implementing dashboards and APIs to streamline data consumption and analysis for business leadership teams.
Previous Roles in Data Analysis and Software Engineering
Before joining Slalom Build, Vina Zhu worked as a Data Analyst at Shanghai Pudong Development Bank in 2018 for five months. This role involved analyzing data to support financial decision-making. Additionally, Zhu has experience as a Software Engineer at Lenovo in 2019 for five months, where technical skills were applied in software development projects.
Machine Learning Techniques Utilized
Vina Zhu has experience utilizing advanced machine learning techniques, including Viterbi and Latent Dirichlet Allocation, particularly in natural language processing projects. This expertise reflects a strong understanding of complex algorithms and their application in real-world scenarios, contributing to the effectiveness of data analysis and decision-making processes.