Shanna Luo
About Shanna Luo
Shanna Luo is a Data Scientist with a Master's degree in Business Analytics from The University of Texas at Dallas. She has extensive experience in data analysis, software engineering, and programming across various languages.
Work at Signet Jewelers
Shanna Luo has been employed at Signet Jewelers as a Data Scientist since 2022. In this role, she applies her expertise in data analysis to support the company's objectives. Her responsibilities include developing data-driven insights and contributing to projects that enhance operational efficiency. Luo's experience in creating real-time dashboards using AWS QuickSight plays a crucial role in her current position, allowing her to analyze large datasets effectively.
Previous Experience at Texas Instruments
Prior to her current role, Shanna Luo worked at Texas Instruments as a Software Engineer In Test from 2015 to 2022. During her seven years at the company, she gained valuable experience in software testing and quality assurance. This role provided her with a solid foundation in technical skills and project management, which she now leverages in her data science career.
Education and Expertise
Shanna Luo holds a Master of Science in Business Analytics from The University of Texas at Dallas, where she studied from 2019 to 2021. Additionally, she earned a Master's degree in Electrical and Electronics Engineering from the same institution, completing her studies from 2013 to 2015. Her educational background equips her with a strong analytical mindset and technical skills relevant to her work in data science.
Technical Skills and Tools
Shanna Luo possesses a diverse set of technical skills relevant to data science. She has hands-on experience with Linux shell scripting and version control tools such as Git and Bitbucket. Luo is proficient in programming languages including Python, R, C, C++, and Java. Furthermore, she demonstrates expertise in using SQL and NoSQL databases, including MongoDB, for data analysis projects.
Project Experience in Data Analysis
Luo has participated in various data analysis projects, showcasing her ability to work with large datasets. She has experience in creating real-time dashboards using AWS QuickSight, which facilitates the visualization and analysis of data stored in S3 buckets. Additionally, she has demonstrated knowledge in utilizing AWS Athena and AWS Glue services to enhance her data analysis capabilities.