Summary
Jannie Chang is a data scientist with nine years of experience building NLP-driven products and production ML pipelines across healthcare, e-commerce, and legal tech. A former attorney with a J.D. and a B.A. in film from UC Berkeley, she blends storytelling, domain expertise, and rigorous analytics to turn ambiguous problems into actionable data products. At Shopify she led data enablement and migrated Spark/HDFS pipelines to BigQuery/Airflow while operationalizing fraud-detection models; at Jellyvision she prototyped RAG retrieval and deployed an AWS/BERT-based Slack bot. Now at Northwestern Medicine she focuses on R&D for clinical tools using NLP and LLMs, bringing a strong track record of embedding data science into product teams. Known for initiative and pragmatic engineering, she consistently adds new algorithms and tools to solve real-world problems.
9 years of coding experience
11 years of employment as a software developer
J.D, J.D at DePaul University College of Law
Data Science Evening Course, Data Science Evening Course at General Assembly
B.A. Art Practice: Film, B.A. Art Practice: Film at University of California, Berkeley
Data Science Bootcamp, Data Science Bootcamp at Metis