Lihua Pei (Neo)

Lihua (Neo) Pei's work experience includes roles as a Data Analyst at Doximity since 2022 and as a Data Scientist at Student Veterans of America from 2020 to 2022. Prior to these positions, Lihua worked as a Data Engineer Intern at The George Washington University in 2019, where they designed and built ETL pipelines, managed a remote MySQL database, and conducted time series and correlation analyses. Lihua also served as a High-Performance Computing Research Assistant at the National Supercomputer Center in Jinan in 2018, where they developed a cluster monitor system and assisted in designing experiments. Additionally, Lihua worked as a Research Assistant at Stony Brook University in 2017, where they designed and managed a local database, implemented a genetic algorithm, and conducted data analysis.

Lihua (Neo) Pei has a Master's degree in Data Analytics, which they obtained from The George Washington University from 2018 to 2020. Prior to that, they earned a Bachelor's degree in Applied Mathematics and Statistics from Stony Brook University from 2014 to 2018.

In addition to their formal education, Lihua has obtained various certifications. These include "Learning Django," "Neural Networks and Convolutional Neural Networks Essential Training," "Blockchain Basics," "Creating Interactive Dashboards in Tableau 10," "Learning REST APIs," "Master of Science/ Data Analytics," "D3.js Essential Training for Data Scientists," "Apache Spark Essential Training," "Building Recommender Systems with Machine Learning and AI," "Building a Recommendation System with Python Machine Learning & AI," "MySQL Essential Training," and "OpenCV for Python Developers." These certifications were obtained from various institutions such as LinkedIn and The George Washington University between 2019 and 2021.