Keith (Zhaoxiang) Chen Sr Data Analyst

Sr Data Analyst

Lyft

Jan 2020 - Current (6 years 5 months)

– Build and own central-functioning data models using SQL, Airflow, and Python. Monitor data backfill, and fix data issues on a daily basis for Customer Services and Safety data across all lines of business – Develop, optimize, and monitor performance of Tableau reporting/visualizations – Serve as a bridging point of contact between the upstream technical data infrastructure/pipelining team, and business/operational stakeholders, to define, build, and maintain metrics, across all lines of business

Quantitative Analyst

Asurion

Jun 2016 - Jan 2020 (3 years 8 months)

– Leverage SQL, BI reporting skills to incorporate multiple mobility data sources (web, call center, supply chain, finance team) to build reports, and perform data analysis and support across the company. – Apply quantitative analysis to detect opportunities, then use Python and R to provide productive suggestions to save cost and improve customer insurance claim experience – Primary machine learning models used are Logistic / Linear regression, A/B testing, Tree based models, NLP

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Data Scientist

Centiment.io

Jan 2016 - Jun 2016 (6 months)

– Prepared and organized data, plots, and writings for presentations to investors that resulted in 1.5M fund raise – With Python and SQL, to develop algorithms on data collected through website scraping including IMDB, Rotten Tomatoes, and iTune

Graduate Teaching & Research Assistant

Virginia Commonwealth University

Aug 2014 - May 2016 (1 year 10 months)

– Provided lab tutorials with software programming for SAS, R, and Excel, including data cleaning, modeling, and visualizing – Explain statistical theories and methods, including distributions, hypothesis testing, ANOVA, regressions, design of experiments, etc. during tutorial sessions

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Data Analyst

Marley Cooling and Heating companies

Aug 2012 - Jun 2014 (1 year 11 months)

– Through SQL Server to perform data mining and database maintenance – Used SAS, R, and Python to generate regression modeling, experiment of designs that monitor cooling tower daily performance, and improved operating efficiency by 30%

Keith (Zhaoxiang) Chen

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