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Daniel Tang is listed as Machine Learning at Nike at Nike, based in United States, United States, United States. AeroLeads shows a work email signal at nike.com and a matched LinkedIn profile for Daniel Tang.
Daniel Tang previously worked as Lead Data Scientist, Member Models at Nike and Senior Data Scientist, Product Recommendations at Nike. Daniel Tang holds Master'S Degree, Forensic Sciences from The George Washington University.
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AeroLeads found 1 current-domain work email signal for Daniel Tang. Compare company email patterns before reaching out.
Daniel Tang is a Machine Learning at Nike at Nike. He possess expertise in python, machine learning, sql, r, statistics and 9 more skills.
Listed skills include Python, Machine Learning, Sql, R, and 10 others.
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Beaverton, OR, US
I work across multiple data science teams to develop and deliver models to stakeholders in marketing and member growth, leading the algorithmic research and stakeholder management. These internal facing models brought member level predictions to new areas of the business and affected decision making at multiple levels.
Beaverton, OR, US
Lead on team that built and deployed a product recommendation engine that serves 100+ million members across the globe on Nike App and Nike.com. Launched the initial batch recommender and the follow on real time recommender. This work was published and presented at RecSys
Beaverton, OR, US
I built the infrastructure that moved the team from no automation to partial automation on custom audience campaigns, saving tens of hours per week. Then I built an offer matching model (and some others) that increased the audience sell through rate by 30%.
Portland, Oregon, US
I was a founding member of data science team that brought actionable, real-time predictions to Medicaid. In additional to developing models for scoring member's risk factors, I designed and coded a common repository to create and transform features, manage training and prediction batches, and store and deploy versioned models to different environments.
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Daniel Tang works for Nike.
Daniel Tang is listed as Machine Learning at Nike at Nike.
AeroLeads has found 1 work email signal at @nike.com for Daniel Tang at Nike.
Daniel Tang is based in United States, United States, United States while working with Nike.
Daniel Tang has worked for Nike, Familycare Health, Southwestern Institute Of Forensic Sciences, U.S. Department Of State, and Ucla - Bradley Microbiology Laboratory.
You can use AeroLeads to view verified contact signals for Daniel Tang at Nike, including work email, phone, and LinkedIn data when available.
Daniel Tang holds Master'S Degree, Forensic Sciences from The George Washington University.
Daniel Tang is listed with skills including Python, Machine Learning, Sql, R, Statistics, Amazon Web Services, A/B Testing, and Apache Spark.
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