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Skill Good at test planning, defined test strategy, implementing test plan and test cases also build up the test environment. Issue feedback and reporting, bug tracking and data analyzing. Program: Python, My SQL, Google Data Studio, ADB commands Education Fu Jen Catholic University~Master of Science i n Applied Statistics Fu Jen Catholic University~Bachelor of Statistics and Information Science Work Experience Google-PTE (Pixel Testing Engineer Team/01~2023/03) NOVMAR 2023 Pixel Acoustics Automation Test Development Acoustics automation and benchmark testing for PixelDesigned the test automation for measuring the speaker quality to enhance the

Quality (quality assurance through process improvement) project related processes in the factory. Identifying and controlling abnormalities in the process from third parties or supplier/customer departments. Problem solving for identified abnormalities with LEAN Methods (8 Step/PDCA) Standardizing the processes by developing SOPs & STWs by coordinating with the relevant parties Developing and coordinating upskilling project to fill the skill gap of the factory Process Improvements for ensuring and improving productivity Conducting Training & Coaching Sessions on LEAN, BIQ, Problem Solving, etc. TPM Coordination and monitoring EducationInstitute of Applied Statistics Sri Lanka Applied Statisti...

recommendation -Support to ATV customer audit (Renesas and Toshiba) 3. Assembly HVM team from 2022/03 till now -Qualcomm HVM device yield management and quailty issue handling -Support project for new factory established -New machine buy off planning -Coordinate with cross-department working difficulty SepJun 2011 University degree: Applied mathematics from National Chiayi University. SepJul 2014 Master degree: Applied mathematical - Statistic team from National Chiayi University. Skill Product quality monitor and sampling size definition Product yield management 8D report writing ATV related knowledge (IATF16949 and VDA6.3) Quality control with Five tool (APQP/PPAP

organized workers which off-line scooter should be exchanged battery first. • Built LSTM model to forecast rental demand through user app events understanding the fulfill rate of every operational region. • Assessed parking lot value, consulted which one should be deprecated, where could develop new parking lot service. • Applied Airflow to ensure the stability and accuracy of data. Data Engineer • Breaktime INC. 四月十月 2019 • Crawled articles from different webs and constructed NLP model integrated text-CNN, Logistic, LightGBM, accuracy around 91%. • Analyzed content of articles to calculate content similarity, then recommended readers

find potential new biomarkers for better diagnosis and prognosis of the disease. By using LC-MS analysis to examine different compartments within patients (including portal vein blood, liver, and peripheral blood), I can depict a potential group of biomarkers (sphingolipids). Additionally, a pipeline was established for metabolomic profiling applied to different projects, including exploring the lipid changes in H.Pylori under treatment conditions and cancer pathological comparison. My future goal is to combine metabolomics with other omics analyses to understand how NAFLD develops and the stages for a better diagnosis and treatment. Education National Yang

Redux ### Other Tools: * Lexical (for SMS Editor) * ApexChart (for Audience Analysis Charts) * Unlayer (for Email Editor) ## CDP Experience ### Analytics Dashboard Enhancement: * Implemented grouping functionality to organize data effectively. * Developed scrolling loading charts for a smoother user experience. ### Statistics Management: * Implemented reports and dashboards for effective data visualization. * Utilized x-data-grid table for efficient handling of statistics. ### SMS Editor: * Integrated Lexical to create a feature-rich SMS Editor. ### AI Marketing: * Developed AI marketing functions, including a word-cloud

Chun Yu, Ko Data Scientist, Data Team Lead As a data scientist with over 8 years of experience and a leader of a data team, I have consistently applied scientific methods to optimize and standardize the business decision-making process. My pursuit extends beyond the identity of a data scientist; I am a professional dedicated to exploring knowledge and creating shared value for business. Over the past four years, starting from business analytics, statistics, machine learning modeling, to causal inference, I have successfully built a framework suitable for continuous iteration. I firmly believe that teamwork and passion