Yihua Leng

Yihua Leng has a strong background in data engineering and machine learning. In 2023, Yihua worked as a Data Engineer (machine learning) at Zylo. Previously, Yihua held various roles at SiteZeus from 2021 to 2022, including Machine Learning Engineer Team Lead, where they established the vision and roadmap for the team, led a team of data scientists and machine learning engineers, and built and maintained data pipelines. Yihua also worked as a Senior Data Scientist and Machine Learning Engineer at SiteZeus in 2021.

Prior to that, Yihua worked as a Data Science Engineer at Foursquare from 2019 to 2020, where they likely focused on data analysis and modeling. Yihua also worked as a Data Scientist and Research Engineer at Snap Inc. from 2017 to 2019, and as a Research Engineer at Placed from 2016 to 2017. Additionally, Yihua worked as a Data Science Fellow at Galvanize Inc in 2015, where they focused on analyzing and clustering data related to women's employment status.

Before transitioning to the field of data science, Yihua worked as a Business Administrative Coordinator at Invention Evaluator from 2013 to 2014, where they assisted in systems operations and managed clientele databases. Yihua also worked as a Research Assistant at the University of Washington from 2011 to 2013, where they conducted independent research projects, including a study on depression and memory using genetically modified mice.

Yihua Leng's education history includes attending Galvanize in 2015-2016, although there is no information provided about a degree or field of study. In terms of additional certifications, Yihua obtained several certifications from deeplearning.ai, including "Structuring Machine Learning Projects," "Convolutional Neural Networks," "Deep Learning Specialization," "Sequence Models," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," and "Neural Networks and Deep Learning." These certifications were obtained in April 2020 and December 2019. Yihua also obtained various course certificates from Coursera, including "Developing Data Products," "Practical Machine Learning," "R Programming," "Regression Models," "The Data Scientist's Toolbox," "Data Analysis and Statistical Inference," "Exploratory Data Analysis," "Getting and Cleaning Data," "Reproducible Research," and "Statistical Inference." These course certificates were obtained in the months between May and August 2015.