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Lassesen Consulting LLC - Operations Research – Statistics

Operations Research – Statistics

Ken’s experience goes back several decades. His career path have toggled between OR/Stats and IM depending on opportunities.

  • 1975-1981 Vancouver School Board
    • Taught enrichment courses on Probability and Statistics at Churchill High School, Vancouver (one of top 3 academic schools in the province) – before being moved to a staff position.
    • Cohort Forecasting of Enrollments
    • Optimization of AV Material scheduling and delivery to increase utilization rate, decrease not-available rates. Implemented a booking system that stayed in production until 2000 (IBM 4331 was not Y2K compliant)
  • 1978-1981 Master of Science (OR) at UBC
    • “Statistical factors influencing patient survival for cardiac arrests during patient transport” for the Justice Institute of BC. (SPSS)
  • 1981-1987 Telus (B.C.Tel)
    • Part of the two person O.R. Team.
      • Heavy SAS and SAS/OR user
    • Quality of Service Statistical Audit for C.R.T.C.
    • Load forecasting for Operator Services
    • Operator scheduling for Operator Services
    • Construction and analysis of quality of service customer surveys
    • Statistical “reasonableness” algorithms for proposed budgets
    • Adhoc Data mining in response to executive requests.
  • 1991 – 2000 Microsoft
    • Statistical analysis and interpretation of the performance characteristics of the first alphas and betas of SQL Server.
    • Statistical modelling of web page performance for when it migrated from proprietary network to the internet.
  • 2000 – 2003 VisionCompass – Satyam
    • Algorithms for detecting “managers gaming the system”
    • Normalization of subjective performance data and reviews
    • Assisting in structuring bioinformatic project research directions
  • 2005 – 2007 PatchLink – Lumension Security
    • Designed and implemented performance stressing platform
    • Interpret statistics to developers to identify ‘hot spots’ in the code.
  • 2008 – 2009 Airline Intelligence Systems
    • Constructed reliable data feed systems for their scheduling systems
    • Translated their OR requirements into actionable system designs

An adjunct application of OR has been heavy involvement in data modelling, performance and scaling of computer application systems including MSDN and Microsoft Partners.

Ken attended The Economist’s Ideas Conference in San Jose on “Big Data” in June, 2011.


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