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Professional Data Science and Marketing Portfolio

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Steve Dille

steve@dille.us

Degrees:

  • Masters in Data Science (in progress - expected early 2020), UC Berkeley
  • MBA, Finance and Marketing, University of Chicago (completed)
  • BS, Computer Science/Math with Honors, University of Pittsburgh (completed)

Data Science Coursework Completed by August 2019:

  • Python Programming for Data Science
  • Statistics
  • Experiment Design
  • Data Engineering
  • Machine Learning

Goal:

I am seeking a product/business position in data science/machine learning/data management that combines by technical skills in big data, analytics, data science with my business, strategy and communications skills. In short, I'm a B2B software product manager/marketer who can code :) I very much enjoy customer facing roles in solving problems, gathering market feedback, building products and explaining the value of complex technology.

Relevant Experience Recap:

  • 5 years as a software developer and project manager in retail at NCR
  • 3 years as UNIX product manager at HP
  • 5 years at Sybase/SAP as director of data warehousing/analytics where I owned the product roadmap & launched the 1st columnar SQL database
  • 1 year as SVP Products at AdPortal where I ran engineering and product management and designed the ad buying GUI myself
  • 2 years as VP of Product Management at Kickfire, a MySQL Data Warehouse appliance sold to Teradata where I owned the product roadmap and delivered and launched the first release of the appliance before the company was acquired.
  • 4 years as SVP, Marketing at Viador, a Java business intelligence tool company (ad hoc SQL query and reporting) we grew from $1M to IPO
  • 5 years as CMO at Barra (now MSCI), the leading data science built risk model provider to 90% of the world's largest asset managers. If you know the CAPM, Barra breaks out Beta using linear regression into roughly 64 different factors that drive risk
  • 4 years as CMO at SparkPost, a cloud big-data driven email API company sending 30% of the world's email (mostly behaviorally driven) that we successfully grew from $13M ARR to $50M+ ARR
  • 2 years consulting and advising Qubole (big data platform similar to Cloudera) and Domino (data science model management platform)

Note: some files in the repository are in github and some are linked to dropbox. Github has size recstrictions and also you can view word and PPT doc examples easier in dropbox if you are wondering.