Kun Chen Email & Phone Number

Bentonville, AR, US

Bentonville, Arkansas, US

• Internal Job Recommendation System: Built a job recommendation system using FastAPI in Python,matching associates based on their present role, skillset and interests. Integrated a feedback loop for recommendation.
• Feedback Loop Data Pipeline: Built a Spark Streaming pipeline to transfer data from Kafka to GCS. Created Spark SQL jobs to synchronize data between Azure SQL, BigQuery, and GCS. Managed deployment on Google Cloud.

Bentonville, Arkansas, US

• Data Enrichment Pipeline: Built a Data Enrichment Pipeline to consume and merge data from BigQuery and Hive. Applied different transformations on the data to build a model for inventory analysis. Deployed and scheduled.
• Data Auditing Engine: Built a Data Auditing Engine to detect mismatches of data from Kafka and Cassandra. Applied Spark Streaming to load data into Google Cloud Storage. Developed the auditing and monitoring part based.
• Real-time Data Integration System: Built a Real-time Data Integration System using Spark streaming and Spark SQL. Extracted data from multiple data sources in Kafka and published canonical form data into Kafka. Output.
• Cloud Migration Tool: Developed the Cloud Migration Tool to migrate on-premise data into Google Cloud Storage. This tool is based on PySpark and includes two pipelines: PySpark batch jobs to migrate data from.
• Report Machine: Built a Report Machine to generate multiple Looker dashboards to visualize the metrics of inventory, which can help analyze the root cause of inventory inaccuracy. Developed Looker dashboard prototypes.

Shenzhen, Guangdong, CN

• Implemented video recommendation algorithm based on video upvote, comment, publish time and other popularity factors.
• Built the video searching function based on user information, keywords and types of videos. The searching results are sorted based on time and popularity factors. Reduced space complexity by constraining the fields.
• Implemented the function to upvote on videos and to cancel upvotes. Users can get their upvoted video lists. Used unique indexes to avoid duplicate operations in databases.
• Built the web/android application RESTful APIs based on Spring Boot and Maven in Java. Built MongoDB database for data persistent and CRUD operations. Delivered the APIs of the functions above to customers.

海淀, 北京, CN

• Collected and organized daily important information and trending using web crawler in Python.
• Developed static and dynamic crawlers based on Beautiful Soup, Selenium and PhantomJS to craw top news from several websites in the various field.
• Ranked the news and stored them into database using MySQL.

Master Of Science - Ms, Computer Science

Master Of Engineering - Meng, Electronics And Communication Engineering

Bachelor Of Science - Bs, Optical Information Science And Technology