Andy Haines
Data Science Consultant
Portola Valley, California, United States
Summary
👤
Senior🎓
Top SchoolAndy Haines is a data science consultant with 11 years of experience applying machine learning, predictive analytics and statistical methods to marketing and product strategy problems. He has built production-ready classification and time-series models using R and Python, implemented Random Forests and logistic regression with rigorous cross-validation, and reduced high-dimensional feature sets via SVD on web-scraped data. Equally fluent in technical model development and executive-facing strategy, Andy combines a background in senior marketing leadership with hands-on data work to translate analytic insights into commercial decisions. Based in Portola Valley, he pairs formal training in data analytics and Stanford’s machine learning curriculum with decades of go-to-market experience, enabling him to bridge the gap between algorithms and measurable business outcomes. An understated strength is his ability to pivot between digging into NLP/social-signal feature engineering and designing experiments (A/B, conjoint) that drive product and marketing direction.
11 years of coding experience
17 years of employment as a software developer
Andrew Ng's Stanford Machine Learning Course, 100%, Andrew Ng's Stanford Machine Learning Course, 100% at CourseraData Analytics Certificate Program, A, Data Analytics Certificate Program, A at UC Santa CruzNon-degree Program, Delveloping & Managing a Successful Technology & Product Strategy, Non-degree Program, Delveloping & Managing a Successful Technology & Product Strategy at MIT Sloan School of ManagementB.S., Physics, B.S., Physics at University of WisconsinGithub contributions (3)
andyh47/higgs
Sep 2014 - Feb 2015
Contributions:13 commits, 2 pushes, 2 comments in 4 months
andyh47/ccc-learning
Aug 2014 - Aug 2014
Contributions:16 commits in 2 days
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