Ramya S.
About Ramya S.
Ramya S. is a Graduate Teaching Assistant at Vanderbilt University and an AI Engineer at Baylor Genetics, with a background in data science and deep learning.
Current Roles at Vanderbilt University and Baylor Genetics
Ramya S. is currently serving as a Graduate Teaching Assistant at Vanderbilt University in Nashville, Tennessee, and also works remotely as an AI Engineer at Baylor Genetics in Houston, Texas. At Vanderbilt, she supports the Vanderbilt - Nissan Data Science Program alongside Dr. Dana Zhang. Her roles involve significant responsibilities in both teaching and AI, leveraging her extensive expertise in data science and machine learning.
Previous Experience at NASA and Houston Arts Alliance
In 2021, Ramya S. gained valuable experience through internships at NASA Langley Research Center and Houston Arts Alliance. She worked as a Deep Learning Research Intern at NASA for three months in Hampton, Virginia, where she utilized her skills in machine learning and deep learning. Furthermore, she completed a five-month internship as a Data Engineering Intern at Houston Arts Alliance in Houston, Texas, contributing to various data analytics and engineering projects.
Roles at University of Houston and ACM UHD Chapter
Ramya S. has held various positions at the University of Houston and the ACM UHD Chapter. From 2019 to 2021, she was a Graduate Research Assistant and later served as a Graduate Teaching Assistant from 2020 to 2021. Additionally, she played important roles in the ACM UHD Chapter as an Event Coordinator and Peer Mentor during the same period. These positions helped her hone her teaching, mentoring, and organizational skills.
Educational Background in Computer Science and Data Science
Ramya S. holds a Master's degree in Computer Science from Vanderbilt University, obtained between 2022 and 2024, and another in Data Science from the University of Houston-Downtown, achieved from 2019 to 2021. Her educational pursuits have equipped her with extensive knowledge in various areas of data science and computer science, including machine learning, data mining, and information visualization.
Technical Skills and Certifications
Ramya S. is certified in Tableau and Azure, demonstrating her strong competencies in data visualization and cloud computing platforms. Her programming skills encompass languages such as R, Python, and SQL. She is proficient in data cleaning, exploratory analysis, correlation analysis, regression, time series analysis, and creating technical reports and presentations, all of which are essential skills in her current and past roles.