Chiatien Tsai

# adv2wx@r.postjobfree.com Mission Viejo, CA 92692

ï linkedin.com/in/chiatien-tsai-72253013a

Education

University of California, Riverside September 2019 – March 2021 Master of Science in Computer Science Riverside, CA National Yunlin University of Science and Technology September 2014 – June 2018 Bachelor of Science in Computer Science and Information Engineering Taiwan Technical Skills

Python, Java, C++, C#, HTML/CSS, JavaScript, TypeScript, SQL, NoSQL, MySQL, Node.js, Pycharm, Android Studio, Postman, Git, Docker, Angular, Linux/ Unix

OOP, AWS, Web Development, Software Testing, Data pipeline, API Development Experience

Media Storm, Merkle September 2021 – December 2022 Software Developer New York, NY (Remote)

• Developed Google Ads API back-end scripts for auto-monitoring advertising data pipeline, optimization, and reports into CI/CD process. implementing on a couple of customers. (Bash, Python, Pandas, NumPy, MySQL, Git, JSON)

• Developed web-page features on Angular framework, create a mock version for front-end developer and cookie collection project for company internal web-page usage. (Angular, Typescript, HTML, CSS, HTTP, Node.js)

• Developed Selenium WebDriver API project to automatically test front-end features for DevOps process and pressure testing. (HTML, Python)

• Modularizing Google Ads API implementation library using object-oriented programming (OOP) and clean code documentation. Complete code migration from AdWords API to Google Ads API(Python, REST, MySQL, Git) Puregen Group (Project Base) January 2021 – July 2021 Software Engineer / Data Analysis Chino, CA

• Developed Company web page, E-commerce development, Amazon sailing web page. (Shopify, HTML, CSS)

• Analyzed e-commerce and sales advertisement, keyword terms analysis, and clustering. (Python, Excel) Advantech January 2018 – June 2018

WebAccess ioT enabling Research and Design Engineer Intern Taiwan

• Assisted in the development of the front-end of a web application WebAccess/EMS, correlated data visualize on Grafana Platform using JavaScript JQuery library.

• Incorporated scripts by C++ to aggregate energy usage data into an organized format and to load the latest data into NoSQL MongoDB.

Projects

Fake News Detection, English and Chinese Terms Python, JupyterNotebook September 2020 – March 2021 Developed a fake news detection model using Python

• Used Python jieba library and sklearn package for Chinese and English news data cleaning and segmentation.

• Factorized terms using nltk toolkits for SVM and NFM method, analyzed with difference classifier model. Recipe Recommender Python, Spider Anaconda January 2020 – March 2020 Developed multiple Python-based processes to generate analysis results

• Used Python Scrapy to crawl website recipe and TF-IDF as index for search engine.

• Created multiple Python-based processes to generate analysis results through Pandas and NumPy package. KKBOX Music Churn Detection Python, JupyterNotebook September 2019 – December 2019 Builed classification and prediction models for music recommendation system.

• Performed feature engineering to address missing values and normalize data.

• Performed SVD data frame using cosine similarity through Scipy to find similar user.

• Built logistic regression models for classification and prediction and show the accuracy score.

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