Mia (Ming) Mao, Ph.D Email & Phone Number

San Francisco, California, Us

- Manage a group of applied and data science teams covering Compliance, Account Security and Identity, and Payments at Uber- Build predictive models and strategies to identify real identity of our earners and spenders to prevent frauds (e.g. ATO and collusion) from signup, onboarding, login, trip request, to payouts- Build risk rating model for partners during onboarding and KYC stage per compliance requirements and monitor transactions for anti money laundering- Build Smart Routing, Auto Retry and Anomaly Detection to improve CSR and DSR in Payments- Led DS team to build Financial Products that had deepen the relationship with customers and created new businesses within Uber

Redwood City, Ca, Us

-Lead a Data Science team working on fraud detection and prevention in Commerce and Identity with large data sets -Leverage machine learning, data mining and anomaly detection technologies-Own vision and roadmap for team. Determine and manage pipeline for team’s work and prioritize based on business needs and resource availability-Work closely with Engineering, Product and Game team to deliver predictive models in Production to ensure the success of EA's business -Provide technical direction on key data infrastructure decisions-Be familiar with data ETL. Ensure access to high quality data and generate consistent metrics and reports for both Frauds and Payments-Responsible for hiring. Support career paths, mentorship, and growth for team members

San Jose, Ca, Us

Worked on predictive modeling for fraud detection by building neural network model with deep learning algorithm on Hadoop platform.

Walldorf, Bw, De

Worked on Semantic Technology, Text Mining, Business Intelligence and SAP in-memory database technology (HANA).

San Francisco, Ca, Us

Taught a core course for undergraduate students at CS Dept. SFSU