Lisa Shang
senior data scientist at doordash@ DoorDash
Baltimore, Maryland, United States
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Lisa Shang is a Data Scientist with over 10 years of experience in advanced analytics, big data, and machine learning. She has developed machine learning models to test the effectiveness of retail pricing changes, forecasting metrics for federal healthcare initiatives, and presented technical insights to non-technical stakeholders and clients. Lisa holds an MS in Statistics from Texas A&M University and a BA from Swarthmore College. Currently, she is focused on developing time series forecasting and machine learning models for retail demand planning and pricing.
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Emails and Phone Numbers

@underarmour.com
@gmail.com
@doordash.com
@mathematica-mpr.com
+1 833672****
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About

I am a Data Scientist with over 10 years of experience in advanced analytics, big data, and machine learning. I have developed machine learning models to test the effectiveness of retail pricing changes, created forecasting metrics for federal healthcare initiatives, and presented technical insights in conferences to non-technical stakeholders and clients. I have publications in the Journal of General Internal Medicine and Health Services Research. I hold an MS in Statistics from Texas A&M University and a BA from Swarthmore College. Currently, I work on the development of time series forecasting and machine learning models for retail demand planning and pricing.

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Work Experience

San Francisco, California, US

Software Development

55105
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Lisa Shang's Professional Milestones

  • Data Scientist (2015-07-01~2018-06-01): Developing cutting-edge data analysis models to optimize decision-making and facilitate data-driven decision making.
  • Systems Analyst (2018-07-01~2021-03-01): Creating and managing scalable and efficient systems to optimize operations and enhance business processes.
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Education

美国德克萨斯A&M大学
美国德克萨斯A&M大学

Statistics

2015-2017
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