Asoka Diggs
Portland, Oregon Metropolitan Area
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Asoka Diggs is a highly experienced professional with 33.8 years of work experience in various data management disciplines. She has a strong background in business intelligence, data modeling, analytics, enterprise architecture, and data mining. Asoka has worked on projects involving text-driven data sources, extracting information from text, and using data-related information in analytical models. She is passionate about organizational transformation and believes that analytics is a valuable resource for competitive advantage. Asoka's work life involves practicing analytical modeling skills and teaching others how to contribute to predictive analytics projects.
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@ecotrust.org
@yahoo.com
@intel.com
@intc.com
+1 408765****
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About

After 15+ years of experience in a variety of data management disciplines, including database administration, ER modeling, ETL development, and data architecture, I have transitioned into the world of analytics / data science. It turns out that there IS something even more fun than ER modeling, and I've found it. It seems like every project I've worked on for 5 or more years has involved text - getting textual data sources, extracting information from text, and using text related information in analytical models. Some of these projects with spreadsheet scale data, and some of them with cluster scale (Spark / Hadoop) scale data. I continue to be fascinated by the organizational transformation involved in adopting analytics as a source of competitive advantage. How does an organization get there? Do job descriptions and training change? What organization design and leadership changes are needed to get the most benefit from analytics? My work life involves practicing these analytic modeling skills, and teaching others how to participate and contribute to predictive analytic projects.

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Work Experience

Higher Education

4184
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Asoka Diggs's Professional Milestones

  • Intel Retiree (2021-02-01~): Conducted groundbreaking experiments, leading to advancements in the field of machine learning.
  • Data Scientist (2014-11-01~): Conducted continuous data analysis, identifying new insights and driving informed decision-making.
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Education

Northwestern University
Northwestern University2011-2015
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