Amber Chen
About
Amber Chen is from Greater Seattle Area. Amber works in the following industries: "Internet", "Higher Education", "Retail", and "Information Technology & Services". Amber is currently Data Scientist at Amazon, located in Greater Seattle Area. In Amber's previous role as a Business Intelligence Engineer at Amazon Web Services (AWS), Amber worked in Virginia until Apr 2020. Prior to joining Amazon Web Services (AWS), Amber was a Data Analytics Intern at Anant Corporation and held the position of Data Analytics Intern at Washington D.C. Metro Area. Prior to that, Amber was a Web Development Engineer at National Taipei University, based in Taiwan from Jun 2015 to Jun 2016.
Amber Chen can be found on Finalscout.com, where members can access Amber Chen's email for free. Finalscout is a professional database with more than 500 million business professional profiles and 200 million company profiles.
Amber Chen's current jobs
Amber Chen's past jobs
• Built real-time analytical tool that automates the end-to-end analytic and reporting process. Tools provided organization-wide access to key metrics and reports using Python and AWS cloud-based services • Implemented statistical forecasting models to predict upcoming workload in data centers. Prediction supported finance labor planning and cluster management • Built data pipeline, which consumed internal and external procurement data from multiple sources using AWS stacks, to support daily bidding decision-making process
• Extracted over 1GB data of job description from various job posting sources, transformed raw data into the useable clean csv file, and compiled the data into PostgreSQL and ElasticSearch with scripts written in Python. • Manipulated and updated database with SQL scripts, indexes, and complex queries on daily basis. • Labeled and structured raw data as training data and conducted natural language processing (NLP) techniques by producing word embeddings (word2vec) and trained classifiers (Random Forest, Support Vector Machine (SVM), AdaBoost, Gradient Boosting Machine (GBM)) to predict different types of jobs. • Deployed classifier online as an interactive User Interface (UI) platform based on React and Node.js to help executives find potential partners and customers. • Designed data visualization to Kibana and Tableau dashboard and provided insights to assist marketing team to make better business decisions. • Applied Docker technology to place applications (Elasticsearch, PostgreSQL, Python, React) in containers. • Prepared comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses. Skills Used ● Code version tools: GitHub ● Agile Software Tools: Talend, Trello ● Database: PostgreSQL, ElasticSearch ● Programming: Python, SQL, HTML, CSS, JSON, JavaScript(Node.js, React.js) ● Container: Docker
• Applied Web analytics to collect website data to analyze user behavior and conducted A/B testing in variation of webpages to distinguish user needs with Google Analytics. • Developed search engine optimization (SEO) strategy to optimize website using HTML, CSS, and JavaScript to increase website traffic by 15% in the past 6 months. • Edited monthly e-paper using Dreamweaver, Photoshop, and Illustrator to market course information and upcoming events to prospective and current students. The effort helped increase matriculation by 10%. • Built and maintained a graduate student online application system and database using VB.NET.