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Operations Research – Statistics – Data Science | Lassesen Consulting LLC

Operations Research – Statistics – Data Science

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

  • 1970-1974 B.Sc. (Mathermatics: Probability and Statistics) at University of British Columbia
  • 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 (Operations Research, Statistics, Information Management) at University of British Columbia
    • “Statistical factors influencing patient survival for cardiac arrests during patient transport” for the Justice Institute of BC. (SPSS)
  • 1981-1987 Telus (B.C.Tel)
    • Corporate Operations Research Team
      • Heavy SAS and SAS/OR user
    • Quality of Service Statistical Audit for C.R.T.C. (similar to applying data science to Warranties)
    • Load forecasting for Operator Services
    • Operator scheduling for Operator Services minimizing costs while conforming to complex union contract
    • Construction and analysis of quality of service customer surveys working with Dr. Alan Strain, Industrial Psychologist
    • Statistical “reasonableness” algorithms for proposed budgets (Outlier detection)
    • 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 web pages on various MSN.com domains 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 with Satyam team
  • 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 Operations Research requirements into actionable system designs
  • 2011-2013 Amazon
    • Detection of bogus product reviews by diverse mechanisms (Textual analysis, random forest)
    • Attended The Economist’s Ideas Conference in San Jose on “Big Data” in June, 2011.
  • 2013-2015 Avara
    • Corporate resource for Splunk and it’s interpretation
    • Implement a corporate data store for corporate staff. imports from internal systems, salesforce,  etc.
  • 2015- onwards Starbucks
    • Resident expert in doing SPLUNK and NewRelic analysis
    • Design monitoring system to cover 1000+ corporate system with hour forecasts of expected ranges and dynamic update of alert criteria
    • Design and implement Cloud Costs insight systems covering 1000+ cloud costs, Goal was to alert on statistically significant issues and trends
  • 2017 – onwards
    • Data Science on microbiome to symptoms and conditions associations. Non-parametric analysis
  • 2019 New Relic University, Certified Performance Pro
  • 2019 DataCamp.com  – obtain certificates for:
    • Importing & Cleaning Data with R Track

      R Programming Track

      Data Manipulation with R Track
      Data Analyst with R Track
      Machine Learning Fundamentals in R Track
      Text Mining with R Track
      Data Scientist with R Track

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