About

Nannan Xun is a highly skilled data analyst with a passion for using data to solve complex business problems. With a Master's Degree in Data Analytics from Johnson & Wales University, she has a wealth of experience in various aspects of data science, including data analysis, data visualization, and machine learning. Currently working at Priceline as a Data Analyst, Nannan is responsible for obtaining rich insights from data that help drive business growth. Her previous experience includes working as a Data Engineer Intern at Learnable, Inc. and as an Operations Analyst at Bank of America. At Learnable, she performed data preprocessing in Python on 13 million datasets, resulting in a 3% increase in validation score. She also created a script in bash to validate large datasets and assisted in manual character mapping for optical character recognition math question bank. At Bank of America, she led a Salesforce Automation Project by collaborating with different departments to design, implement, and optimize data-driven solutions. Nannan is highly proficient in various technologies, including data engineering, machine learning, Python, and Salesforce. Her passion for obtaining rich insights from data and using them to drive business growth is evident in her work. When she's not working, she enjoys working out, learning new skills, and visiting new places. Overall, Nannan is a dedicated and highly skilled data analyst with a passion for using data to drive business growth.