Colleen Q.
Vice President | Head of Data Science@ Albertsons Companies
San Francisco, California, United States
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Colleen Q. is an experienced professional with 22.8 years of work experience in data mining, data analysis, predictive modeling, web analytics, and business intelligence. She has worked in various domains at Fortune 500 firms and high tech start-ups, focusing on leveraging data science to solve business problems. Colleen has built and led analytics teams supporting various business functions such as A/B testing, marketing, product, customer insight, strategy, risk management, and FP&A. She is skilled in big data manipulation and programming, and enjoys creative thinking and embraces changes in life.
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Emails and Phone Numbers

@yahoo.com
@tesla.com
@lindenlab.com
@albertsonscompanies.com
+1 208395****
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About

Experienced in AI, data science and analytics across various business domains at both Fortune 500 firms and high tech start-ups. Specialized in the leveraging data science to solve business problems. Built and led analytics teams supporting various business functions: A/B testing/experimental design, Marketing, Product, Customer Insight, Strategy, Risk Management and FP&A. Excellent hands-on big data manipulation and programming expertise. Enjoy creative thinking and embrace changes in life. Specialties: -Data science, business insight, strategy -Machine learning, deep learning -Mobile analysis -Product analysis -Marketing analysis, Web/Site analysis -Customer insights -Quantitative analysis, Statistical modeling, experimental design/AB testing -Automated reporting, BI -SAS, SQL/MYSQL/HIVEQL, Python, R, Spark, PostgreSQL, Qlikview, Tableau, Business Object, MicroStrategy, Oracle Hyperion Essbase -People management

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Work Experience

250 E Parkcenter BLVD, Boise, Idaho, 83706, US

Retail

94612
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Colleen Q.'s Professional Milestones

  • Director Of Analytics And Data Science (2016-01-01~): Achieved seamless data analytics performance through analyzing data and ensuring successful client outcomes.
  • Director Of Analytics And Business (2013-01-01~2015-01-01): Driving data-driven decision-making and maximizing business performance through data-driven insights and actionable insights.
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Education

Purdue University
Purdue University

Economics,

Statistics,

Master Of Science,

Doctorates,

Masters,

Doctor Of Philosophy

1998-2001