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.