Summary
Kim Kim is a Senior Data Scientist with 11 years of experience specializing in NLP, recommendation systems, and production ML pipelines across media and gaming companies. Based in Los Angeles, she has led data science teams and built end-to-end automation and ETL tooling using Jenkins, Docker, Airflow, GCP, and AWS, while maintaining SEO and data best practices. Her hands-on work spans classical and deep learning methods—from Word2Vec, BERT, and LDA to YOLO-based object detection and TensorFlow.js prototypes—paired with strong data engineering skills in Spark/Scala, MongoDB, and SQL. She combines product-focused experimentation (automated A/B treatment/control pipelines feeding Tableau dashboards) with a background in teaching and mentorship, having trained students and onboarded engineers. Notably, she built a TensorFlow.js RNN demo early in her career and has experience migrating test environments to S3/CloudFront, highlighting a practical knack for bridging research proofs-of-concept to scalable production services.
11 years of coding experience
4 years of employment as a software developer
Data Science, Data Science Immersive, Data Science, Data Science Immersive at General Assembly
University of California, San Diego
Korean, Japanese