Xiao (Kyra) Quan
About Xiao (Kyra) Quan
Xiao (Kyra) Quan is a Machine Learning Developer with advanced degrees in Business Analytics and Computer Science. She has experience in data science and analytics, having worked at notable companies and demonstrated expertise in various programming languages and machine learning frameworks.
Work at Hudson Labs (formerly Bedrock AI)
Xiao (Kyra) Quan has been employed at Hudson Labs since 2022, serving as a Machine Learning Developer. In this role, she applies her expertise in machine learning frameworks, including PyTorch and TensorFlow, to develop and implement advanced algorithms. Her work involves utilizing natural language processing (NLP) tools such as HuggingFace and SBERT, contributing to innovative projects within the organization. Hudson Labs focuses on leveraging artificial intelligence to drive business solutions, and Quan's contributions support these objectives.
Education and Expertise
Xiao (Kyra) Quan holds multiple degrees in relevant fields. She earned a Master's degree in Business Analytics from the Schulich School of Business at York University and a Master's degree in Computer Science from the Georgia Institute of Technology. Additionally, she completed a Bachelor of Economics and a Bachelor of Arts at Guangdong University of Foreign Studies. Her educational background equips her with a strong foundation in both business and technical aspects of data science and machine learning.
Background
Xiao (Kyra) Quan has a diverse professional background in data science and analytics. Prior to her current role at Hudson Labs, she worked as a Data Science Consultant at Exigent Group Limited for seven months in 2019 to 2020. Following that, she served as a Business & Customer Insights Analyst at Loblaw Companies Limited for one year from 2020 to 2021. These positions allowed her to develop her skills in data analysis and machine learning applications.
Achievements
Xiao (Kyra) Quan has received recognition for her skills in data science, notably achieving a Kaggle medal for excellence in data science competitions. This accolade highlights her proficiency in utilizing data science techniques and her ability to compete effectively in a global arena. Her accomplishments reflect her commitment to continuous improvement and expertise in the field.
Technical Skills and Tools
Xiao (Kyra) Quan demonstrates a strong command of various programming languages and tools essential for data science. She is proficient in Python, SQL, R, and SAS, which are critical for data manipulation and analysis. Additionally, she employs big data tools such as PySpark and Google Cloud Platform (GCP) to manage large datasets effectively. Her technical skills enable her to tackle complex data challenges in her current role.