Worked closely with finance, legal, and production teams- Built visualization tools to visualize metrics and help stakeholders tell a good data story- Leverageg Large Language Models (LLMs) to extract unstructured data, significantly reducing manual processing time.- Built Machine Learning Models to improve the internal forecasting accuracy and reduce manual work- Built anomaly detection model to improve data hygiene and reliability- Acted as a strategic thought partner for both non-technical business stakeholders and engineering counterparts, providing insights and facilitating collaboration.

Product Analyst in Google Maps User Generated Contents (UGC) team. - Improve notification experience & improving targeting algorithms, reducing sending redundant notifications and proposing new notification types - Identify product growth opportunities in Google Maps, work with PM and Eng to propose feature/design experiment/identify headroom- Initiate and create internal analysis tools to enable UGC Consumption side metric development, which is used in multiple important projects in the following quarters- Run weekly business metric review with senior management (40+ audience including directors)- Improve client side logging, prioritizing and coordinate eng resource on improving logging- Identify Gender Inclusion status and product headroom

Model Development- Developed credit risk models for Commercial bank portfolio, including using MCMC simulation for structured finance model- Developed prediction models, including Balance at default prediction model for CECL guidance, and worked closely with Prepayment model development for CECL- Built a pdf Python processing tool to extract key words for reporting, reducing work load from 1 week to 2 mins- Manipulate, clean and visualize large internal and external data sets using SQL, Python and RProject Management- Actively worked as project coordinator in internal training, team management, and data migration projects- Work closely with Stress Testing, implementation, and other downstream teams; Communicate with engineering and business audience, research and translate business problems into analytical solutions

Teaching assistant for the course Intro to Statistics in School of Social Work.Hold office hours and assist online session.

•Worked with clients to model their needs, built network analysis model to detect fraud and illegal fundraising •Cleaned and manipulated big data, visualized network analysis results in R•Researched on detection of forged signature in Deep Learning

• Evaluated Google analytics and social media posts to increase web traffic, made plans to attract more views and improve key metrics• Helped to develop marketing content to promote a new game based app with SuperKids Nutrition and the National Restaurant Association• Did market research about business with literacy programs and sponsorship

•Studied the risk and return of the graded fund and wrote a report on the investment strategy on graded fund.•Conducted a Monte-Carlo test to propose a strategy to control position to maximize MAR according to drawback and improved MAR by 10%.•Testified the effect of Kelly formula and applied it into portfolio management.