Liaoyuan Wang

Data Scientist

Alfred University

Alfred, NY

03.2015 - 03.2020

Provided comprehensive analysis and thereafter developed a mechanism for ensuring facts which impact the performance of products can be understood by process and product engineers.
Recommend solutions to address complex product defects, problems and issues using materials models and simulating data.
Leveraged analytics to drive product development and process improvement.
Applied advanced analytical methods to quantitatively assess how factors, such as distribution of species in spatial and/or time, impact properties (like surface charging) and features (like lifetime) of products.
Explored and developed a research roadmap which have not been done before.
Developed data-gathering and reporting structures from ground up and strategized methods capitalizing on system features.
Applied theoretical expertise, such as decision tree, KNN, k-mean, to create or develop tools/codes such as clustering atoms to species.
Developed codes to automate classify micro atoms into macro species and track their transformation to further understand surface reactions and related mechanisms.
Wrote codes to transfer raw data into statistical data to provide comprehensible pictures
Applied statistical techniques to interpret key points from mined data
Designed and automated more than 7 innovative digitization and report tools based on explored research roadmap for enhancing data analysis efficiency and performance.
Configured, maintained HPC cluster to improve the computing power for system users
Completed reviews of codes, requirements and project plans.
Analyzed problems to develop solutions involving computer hardware and software.
Gathered requirements and developed project plans.
Wrote research papers, reports, and summaries and presented on international conference regarding surface reactivities on glass materials and related mechanisms.