Computer science

Computer science
Resume examples

Resume Examples Objectives and summaries
Computer science
Computer science
Resume examples
Resume Examples Objectives and summaries

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

Experienced

Oversaw data management services including data modeling, database, and analytics platform design, database performance and optimization, recovery/load strategy, and implementation for the university.

  • Led team of 5 in development and enhancements of the data user interface including data acquisition/access analysis. Managed vendor relationships
  • Monitored status of assignments; reviewed code and documented scripts and procedures.
  • Designed and implemented data verification and testing methods.
  • Identified and evaluated opportunities to improve existing subject areas and applications and determine viability for adoption
  • Provided technical expertise and direction in developing and supporting system-level programs Established standards and procedures related to end-user and interface development, including user requirements.
  • Consulted with end-users, managers, and vendors to determine computing goals and system requirements.
  • Worked with computer engineers and natural scientists to solve complex computing problems.

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