Evidence Performed by Shayne Vacher-Moffeit

  • Name
    Applied Data Science (ToU Calibration)
  • Description

    Executed primary descriptive data analysis and exploratory modeling using Python and core data manipulation libraries on Canadian emissions data to simulate strategic decisions for a climate-conscious automotive manufacturer. Profiled dataset integrity, evaluated structural data types, and established systematic data-cleaning documentation. Engineered multi-variable data visualizations to isolate environmental trends, linking quantitative insights directly to business growth strategies. Constructed a supervised linear baseline model and interpreted its core evaluation metrics to present data-driven product recommendations to a corporate board.

  • Start Date
    2024-02-25
  • Duration
    3 weeks
  • Type
    Education
  • For
    Tomorrow University of Applied Sciences
  • Title
    Student

Used Skills

  • Rankof 102
    Details(name, duration, recency, competency
    )
  • Presentation Design8 months2 years ago
    Competent
  • Python1 month, 1 week2 years, 5 months ago
    Novice
  • Data Science2 months2 years ago
    Novice