Jingyuan Liu

Jingyuan Liu is a data professional with a passion for applying quantitative skills to solve real-world data-related problems and make a positive impact.

With a strong foundation in theoretical math from studies at prestigious institutions like Columbia University and the University of California, Berkeley, Jingyuan excels at transforming theories into practical solutions efficiently.

His diverse educational background includes a Master of Science in Data Science from Columbia University and a Bachelor of Arts with double majors in Mathematics and Data Science from UC Berkeley.

Jingyuan's experience spans roles as a Sales Support Data Scientist at SentiLink, a Data Science Intern at Warner Music Group, and various research and teaching assistant positions at Columbia University.

He thrives in fast-paced environments, enjoys tackling challenges, and is dedicated to continuous learning to stay abreast of the latest developments in the field.

Jingyuan Liu's expertise lies in data science, mathematics, quantitative analysis, research, and teaching. He is driven by a desire to leverage his skills to create practical solutions that contribute to improving daily life through the power of big data.