♦ Monitors and evaluates retention, and growth. Performance and communicates directly to Product Managers and other Management the progress against targeted goals.♦ Strong hand on experience using SQL and creating Tableau Dashboard using LOD, stack bars, bar graphs, geographical maps with large data volumes from various data sources.♦ Analyzed trends of renewal/non-renewal rate to identify growth, development of strangely to manager these effectively

Contributing via UC Irvine Capstone course to focus on data related to Product Quality system. The goal is to use unsupervised machine learning and NLP to drive optimal solution in an automictic, repeatable manner.• Sentiment Analysis – Correlate sentiment analysis output to # of finding, severity of finding, auditor, etc.• CAPA Categorization – Categorize CAPA into corresponding quality procedure suits.• Work with CCP team to measure Impact of projects across NACRs, CAPAs, and complaints for selected product lines.

Responsible for designed, implemented functional and technical specifications as well as analysis reports, provided strategic and operational support to business team• Collected and analyzed second-hand housing price data from Beijing from 2017 & 2018, engineered relevant features that impact house prices like unit price, area, # rooms, floors, type of house, construction time, etc.• Determined the correlation between the house price & each of the variables, visualized the finding in Tableau.• Identified new sales opportunities with a potential of 30% sales increase & Showcased to it management.• Designed & Created a SQL database and stored data using SQL stored procedures, Optimized query runtime by 10%.• Collaborated on process improvement initiatives with Data & Analytics group & provided technical suggestions on business-decision making.• Coordinated with different departments to provide data & analytics support for various research reports.