Shay Liu

ad3t6h@r.postjobfree.com stormycloudy shayliu 323-***-****

WORK EXPERIENCE

Machine Learning & Data Analytic Intern Jun 2022 – Sept 2022 The Electric Power Research Institute Palo Alto, CA

• Enhanced a cGAN machine learning model for forecast climate data generation

• Conducted in-depth analysis of solar data from forecasting (HRRR) and reanalysis (ERA5) sources using AWS

• Evaluated data synthesis quality metrics for energy modeling Data Science Intern May 2020 – Jul 2020

The National Center for Atmospheric Research Boulder, CO

• Analyzed output data from FastEddy® large eddy simulation model on a supercomputer

• Achieved a significant 300x speedup in data processing on GPUs through in-situ Python coding

• Facilitated cross-team collaboration in a multi-disciplinary work environment

• Presented work at IEEE’s Supercomputing 2020 conference (SC20) (Link ) Research Assistant on Data Analyzing Aug 2015 – Aug 2023 Indiana University Bloomington, IN

• Managed data preparation tasks, including cleaning, resampling, visualization, and analysis of over 40 years of various large satellite datasets

• Developed automated procedures to reorganize, output, and store large binary and netCDF data

• Implemented nearest neighbor algorithms to interpolate missing data points with temporal and spatial information

• Assessed data interpolation quality using statistical methods, such as bootstrapping RESEARCH PROJECT

Data Analytics for Large-scale Tropical Wave Activities 2020 - 2023

• Spearheaded the collection, processing, and testing of diverse datasets to pinpoint optimal datasets for analysis

• Analyzed and visualized multi-decadal climatological variables, unraveling intricate dynamical and statistical patterns

• Automated the analytics workflows, optimized efficiency and accuracy, and delivered compelling presentations of insights to drive informed decision-making processes Interannual Climate-cloud Variability with Legacy Satellite Data 2015 - 2020

• Constructed a comprehensive cloud dataset with enhanced statistical features from 12 years of satellite observations from two sensors

• Identified spatial and temporal climate variability signatures associated with cloudiness

• Published work in the Journal of Climate (Link)

SKILLS

Programming

Python (Pandas NumPy SciPy PyTorch Scikit-Learn xarray) SQL (PostgreSQL)

HTML • CSS • LATEX

C • R (RStudio) • FORTRAN • BASH • IDL

Git • Vim • Linux/Unix • AWS • MATLAB

Technical & Professional

Data Analytics • Time Series Analysis

Data Visualization • Machine Learning

High Performance Computation

Multi-disciplinary Collaboration

Technical/General Presentation

EDUCATION

M.Sc. Geological Sciences, Indiana University Bloomington, IN 2015 - 2023 M.Sc. Atmospheric Science, University of Alabama in Huntsville Huntsville, AL 2012 - 2014 B.Sc. Atmospheric Science, Chengdu University of Information Technology Chengdu, China 2008 - 2012

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