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Zequn L. has work experience as a Data Scientist at Cheetah starting from October 2021. Prior to that, they worked as a Data Science Fellow at SharpestMinds from October 2020 to September 2021. Zequn also has experience as a Data Science Intern at the Innovation Center for Industrial Big Data from October 2018 to December 2018. Additionally, they worked as a Research Associate at Tsinghua University from April 2018 to August 2018.

Zequn L. has a diverse education history. Zequn completed a Master of Science in Industrial Engineering at Purdue University from 2019 to 2021. Prior to that, Zequn earned a Master of Science in Civil, Environmental and Geodetic Engineering from The Ohio State University, graduating between 2015 and 2017.

In addition to formal degrees, Zequn has obtained various certifications. These include the following:

- Zequn completed the "Intro to Programming Nanodegree" from Udacity in September 2021.

- In August 2021, Zequn finished the "Machine Learning DevOps Nanodegree" from Udacity.

- In June 2021, Zequn obtained the "Data Engineering Nanodegree" from Udacity.

- In May 2020, Zequn completed the "Deep Learning Specialization" from deeplearning.ai.

- In January 2020, Zequn acquired the "Machine Learning Scientist with Python Track" certification from DataCamp.

- In December 2019, Zequn completed the "UCSanDiegoX ALGS200x: Algorithmic Design and Techniques" course on edX.

- Also in December 2019, Zequn finished the "UCSanDiegoX ALGS201x: Data Structures Fundamentals" course on edX.

- In June 2019, Zequn obtained the "HarvardX Professional Certificate in Data Science" from edX.

- In May 2021, Zequn obtained the "AWS Certified Cloud Practitioner" certification from Amazon Web Services (AWS).

- Finally, in June 2021, Zequn acquired the "Professional Data Engineer" certification from Google.

Zequn L. has demonstrated a commitment to continuous learning and has acquired a range of skills and knowledge through both formal education and certifications.