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Computer scientist

Computer scientist
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Computer scientist
Computer scientist
Resume examples
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8Computer scientist resume examples found

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Computer science resume examples
Data scientist Computer scientist Machine learning specialist
Experience level
Entry level Experienced Senior

Computer scientist

Senior

Led 10-person team devising ingenious solutions to complex problems such as big data, business intelligence, and data analytics. Created partnerships with Cloudera, Datastax, and Ne04J.

  • Patented three breakthrough methodologies that generated $7 million annually.
  • Data Partitioning and Indexing (DPI): speeds up calculation and simplifies range-interval queries for data analytics.
  • Compressed Data Warehouse (CDW): slashed server space, boosted efficiency, and accelerated querying.
  • Automated Online Advertising System (OAS): applied game theory to calculate payments to inventory partners.
  • Provided consulting services to C-Level executives for big data strategy, platform selection, reference architecture, ROI modeling, an enterprise data hub, real-time analytics, visualization, and migration to the cloud. Built a development team with combined subject-matter expertise in architecture and optimization for three areas of programmatic advertising:
  • Advanced the state-of-the-art patented methodologies and algorithms —for automatic buying and selling of online ad impressions via real-time auctions that occur as fast as a webpage can load.
  • Re-architected DMP and DSP platforms for a major ad-tech firm — converted to a real-time, in-memory platform.
  • Built prescriptive architecture to run large production clusters for spot-market AWS instances.
  • Architected cloud Infrastructure and massive data migration —from an on-premise data center to the public cloud— for the Washington Healthcare System.
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Computer scientist

Senior

Developed new programming languages, software systems, and computer science tools to enhance work with a Forbes 100 tech firm. Advanced numerous types of technologies that included cloud technology and machine learning systems saving the company over $3B annually.

  • Increased team productivity resulting in the ability to manage a large data center with the assistance of a 12-person team.
  • Identified research opportunities and evaluated data resources, background information, and technologies related to specialized areas.
  • Developed and pursued long-term goals and objectives independently and collaboratively with department heads to meet company initiatives.
  • Demonstrated thought leadership and independence in conceptualizing, planning, designing, and driving complex research projects.
  • Developed and participated in developing research proposals for major funding agencies such as CDC, DARPA, IARPA, NIH, and NSF.
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