* Bridge the gap between technical and non-technical stakeholders *

Challenge: Cultivated data analytics as a service and data quality management for a Sequoia-backed software startup. Established service workflow and training materials for a team of 10 as one of the founding members.

Strategy: Designed and implemented business intelligence solutions using SQL, Python, Data Studio, and cloud workstations for insight discovery. Defined product metrics, conducted systematic review, and provided recommendations to product and engineering teams.

Results:

• Led to 2x telemarketing conversion for an insurance provider.

• Reduced insights reporting lead time from 1 week to 1 hour.

• Achieved 20% improvement in system reliability and 30% reduction in resource consumption.

• Awarded “Best Appier” in 2020 for introducing audience insights and meaningful metrics.

Data scientist for Deloitte Taiwan helping clients with predictive modeling and risk assessment using SQL and Python.

Participated in a facility design review project where I built a simulation model on a production line with Simio to estimate schedule lateness, machine utilization, manufacturing waste and line sigma.