Led UX design of various internal Data & Machine Learning products for technical users such as Data Scientists, Data Engineers and ML Modelers.
•Amundsen (Open source data discovery and metadata engine) www.amundsen.io
•Verity (Data quality tool to improve debugging workflow by running scheduled checks)
•LyftLearn (ML tool for prototyping, developing, training, and deploying machine learning models)
•TCS (Experimentation tool that enables a broad spectrum of users across Lyft to configure, see the results, and share over 6,000 experiments per year)
•Metrics Portal (Allows anyone to search, watch, and see detailed information about metrics across Lyft)
Led other cross-product UX design, future vision designs, cross-team workshops/presentations, and a cross-functional initiative to define the Mission & Vision for Data, Science & ML org.
Improved culture across design org and beyond through co-leading a program for new hires community, co-leading the Families ERG, and helping interviewer training.