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Meredith Goldsmith

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@ OR/Quant Analyst
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Education

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Stanford University

PhD, Operations Research 1992-01-01 - 1999-01-01
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Yale University

Bachelor of Arts - BA, Mathematics 1987-01-01 - 1991-01-01

Work Experience

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Google

2004-09-01 - 2015-01-01

Google

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Citadel

2002-04-01 - 2004-01-01

Citadel

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KCG Holdings, Inc.

1999-08-01 - 2002-04-01

KCG Holdings, Inc.

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Brooks Automation

1997-07-01 - 1999-07-01

Brooks Automation

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Stanford University

1996-09-01 - 1997-06-01

Stanford University

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Institute for Defense Analyses

1994-07-01 - 1994-08-01

Institute for Defense Analyses

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IBM

1991-09-01 - 1992-08-01

IBM

Skills

Online Advertising Portfolio Optimization Mathematical Programming Operations Research R Google Adwords Quantitative Analytics Online Marketing Website Monetization Quantitative Investment Strategies Machine Learning MapReduce Data Mining Start-ups Data Analysis Digital Marketing C Python Strategy Algorithms

Summary

Business operations / business strategist / investor / data scientist / quant with expertise in data analysis, mathematical optimization, and business decision modeling. Silicon valley and Stanford engineering insider living in SF bay area since 1992. Worked at Google in ads engineering and large scale data analysis, and previously for quantitative hedge funds developing portfolio optimization strategies. * BA Math, PhD Operations Research and PhD Minor in CS 1999 * 5 years at 2 quant long short equity hedge funds writing portfolio optimization software post grad school degree in numerical constrained optimization * Google for 10 years 2004-2014, worked in product and engineering for Adsense and Adwords - data analysis relating to advertisers, publishers, adwords and adsense revenue and quality, website monetization strategies and online advertising / marketing campaigns. - analysis and prediction with large scale data sets. - numerous case studies for advertisers and ads quality, dug deep into data to understand what drives conversions. - developed software libraries for logs analysis. * Experience with large data sets as well as spreadsheets. R and Excel pivot tables, SQL over large scale sharded databases, bash/awk and other scripting languages for automating jobs, Mapreduce programming (sawzall) for web logs, and general debugging of complex systems.

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