Faye Zhang's Email Addresses & Phone Numbers

Software Engineer - Full Stack @ Wayfair • Created a warehouse purchase system that allowed fulfillment customers to allocate inventory to specific orders and events• Working intimately with the business users, optimized and automated existing processes to improve efficiency and accuracy in handling rapidly growing orders and stocking• Technologies: PHP, MVC, Tungsten, Backbone, MSSQL, HTML5 and JavaScript...

Software Engineer - Full Stack @ Wayfair • Created a warehouse purchase system that allowed fulfillment customers to allocate inventory to specific orders and events• Working intimately with the business users, optimized and automated existing processes to improve efficiency and accuracy in handling rapidly growing orders and stocking• Technologies: PHP, MVC, Tungsten, Backbone, MSSQL, HTML5 and JavaScript From May 2015 to August 2015 (4 months) Boston, Massachusetts, United StatesSoftware Engineer - Full Stack @ Nead Werx, Inc. • Responsible for creating and maintaining data-driven web applications to emulate in-store environment• Created modals and web page for data input using PHP, HTML and CSS. Validated data using JavaScript and updated data in database with SQL query functions. Modified web front-end with jQuery• Gained experience with Linux, Apache, VIM and GIT From August 2014 to December 2014 (5 months) Atlanta, Georgia, United StatesSoftware Engineer - Data Platform @ Reputation.com • Built end-to-end ETL models to sort vast amounts of customer feedback, derive actionable insights and tangible business solutions• Created a business category mapping system that automatically maps customers' business category information to any source website's category system. Category platforms include Google, Facebook, Yelp, Bing and etc. • Populated healthcare directory data for doctor on-boarding and doctor finder products. The data model associates medical terms including symptoms and diseases to their corresponding medical specialties. All medical data was obtained via automated data scraping processes and the hierarchy was created by clustering using machine learning algorithms. • Built an API to generate keywords for review sentiment analysis and real-time productionmonitoring. The API loads reviews from user requests, extracts keywords that drive the sentiment and sends keywords to the backend server.• Designed and built data visualization tools including word clouds and dynamic charts to track business growth and industry benchmarks using D3.js• Developed a data quality control model to monitor business information change overtime. The model flags outdated customer information using different apis for validation and updates it with correct data. • Responsible for monitoring sentimental prediction model for customer reviews and ensuring high performance ETL process • Technologies: Python (Pandas, NumPy, Keras, Scikit-learn, TensorFlow, Cherrypy, Flask), SQL, D3.js, Node.js, Maven, AWS(Redshift, S3, EC2), Mongodb, Sumo Logic, Jenkins From March 2017 to January 2020 (2 years 11 months) San Francisco Bay AreaData Engineer @ Funding Circle US • Built ETL pipeline for scaling up data processing flow to meet the rapid data growth• Created an automated loan leads and opportunities match back model used to analyze loan performance and convert more business leads• Ingested forecasted budgets history into data warehouse• Connected third party software api for data validation in direct mail match-back project used to analyze direct mail performance by mapping loan applications to mailing instances• Technologies: Python, MySQL, PostgreSQL, Hadoop (Hive), AWS(S3, EMR), Tableau, Docker, Kafka From May 2016 to August 2016 (4 months) San Francisco, California, United StatesResearch Assistant @ Georgia Tech Research Institute • Actively participated in Edge Cloud Composites( ECC ) research project• Worked with a research team on integration of resource between personal devices/home appliances and personal clouds that created at hypervisor level• Created an Android app to test local cloud environment and monitor performance From January 2014 to May 2014 (5 months) Atlanta, Georgia, United StatesSoftware Engineer - Data @ EasyPost • EasyPost is a Shipping API that solves complex logistics problems for eCommerce businesses, enabling them to deliver an online shopping experience that delights customers• Responsible for building and maintaining high quality, performant data solutions pertaining to business services to revolutionize e-commerce shipping process• Created pipelines to ingest event data from message bus into data warehouse and ETL job schedulers• Built daily reports that utilize data to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics• Designed and built a SmartRate API which allows customers to select the lowest rate that meets a certain time in transit criteria for a given shipment• Technologies: Python (Pandas, NumPy), MySQL, Vertica, Kafka, Docker, Jenkins, Vagrant, Phabricator San Francisco, California, United States