Ryan Chui
**** ********* **, ******, ** ***** 925-***-**** addaoc@r.postjobfree.com https://github.com/ryanchui/portfolio QUALIFICATION SUMMARIES
Data Analyst with 2+ years of experience in interpreting and analyzing data for driving business solutions. Proceed to graduate from UC Berkeley with maturity in Mathematics, and in process to obtain US Department of Energy (DOE) Q Clearance. Furnish insights, and analytics to advance opportunity identification, process reengineering and corporate growth. Professional fluency in reading and writing in English and Chinese. TECHNICAL SKILLS
Language: Python, R, Matlab, SQL, SAS, SPSS, XML, C, C++, Java, x86 Assembly, Linux and Shell scripting Tools: Pandas, NumPy, SciPy, Scikit-learn, Tableau, Tensorflow, OpenCV, ggplot2, Git, LaTex, Shiny Certifications: SAS Certified Base Programmer for SAS 9, SAS Certified Advanced Programmer for SAS 9 CORE COMPETENCIES
Advanced Data Mining
Big Data Analytics
PROFESSIONAL EXPERIENCE
R and Python Packages
Business Intelligence (BI)
Documentation and reporting
Database Systems
Lawrence Livermore National Laboratory (LLNL) Livermore, CA Data Analyst (Weapons and Complex Integration) 10/2018 – 03/2020
Summarized results upon comparison of multiple data sources, and generate results by creating data automation scripts.
Created SQL queries using Python Jupyter Notebook to access financial budget database, and translate results into meaningful graphs to enhance recruiting strategies and project trajectory.
Provided analysis from monitoring direct funded projects ($+2M) through delivery, planning schedules, submitting reports, to tracking actual and budget in the Master Project List for the Project Management Office (PMO).
Developed Maximization Bipartite Matching to optimize stockpile modeling in Pyomo and generate results in LaTeX. Equinix Inc. Sunnyvale, CA
Global Process Analyst 09/2017 – 09/2018
Designed Functional Design and Business Requirement Document (BRD) in collaboration with Global teams to support adherence of the Global Operations Charter of data centers.
Facilitated User Acceptance Testing and software releases by creating and uploading test cases to HP ALM undertaken by Regional Subject Matter Experts (SMEs) on deploying new system changes to production.
Identified global process gaps by collaborating closely with IT to deploy global NOC initiatives and mission critical business applications (e.g. Siebel CRM, NOC Console, Equinix Cloud Portal) for Network Provisioning Engineers.
Delivered slide deck and training session on major releases to AMER, EMEA and APAC Network Operations. Carl Zeiss Meditec Inc. Dublin, CA
Data Scientist Internship 05/2017 – 08/2017
Developed image processing algorithm to evaluate image artifacts and built machine learning models to improve 89% overall prediction accuracy for Optical Coherence Tomography Angiography (OCTA) images.
Performed exploratory of data analysis in Python Jupyter Notebook for medical images using Canny Edge Detection and Multilayer segmentation techniques for texture suppression and noise reduction.
Collaborated closely with advance development team to ensure accurate integration of machine learning models into firm platforms, and participated in cutting edge research in computer vision. UC Berkeley Undergraduate Research Apprentice Program (URAP) Berkeley, CA Data Analyst Internship 01/2015 – 08/2015
Produced tables, graphs, and narrative analysis of data to easily display and summarize student characteristics, enrollment, graduation and post-college employment profile.
Determined appropriate statistics for data types including frequencies, chi-square, correlation, multiple regression. EDUCATION
Rochester Institute of Technology - Golisano College of Computing and Information Sciences Rochester, NY Online Master of Science in Data Science (In Progress) Expected May 2022 University of California – Berkeley Berkeley, CA
Bachelor of Art in Applied Mathematics in Concentration of Statistics 08/2014 - 05/2017 Relevant Courses: Computing with data, Time Series Analysis, Linear Algebra, Probability, Microeconomics Theory