About

Proficient in data visualization and reporting tools, with keen eye for detail and capacity to collaborate with cross-functional teams. Skilled in R, Python, Spss, Minitab, and Excel.

Skills

  • Quantitative and Qualitative data analysis; Stata
    10
  • Project Management
    8
  • Economics and statistics
    10
  • Statistical Modelling
    10

Experience

Folitse Denis Sedem

Work experience
  • As a Research Assistant under Professor John Staudenmayer, my focus lies in refining methods in fields like Non-parametric and Semi-parametric modeling. I work on enhancing techniques such as bandwidth selection for Local Polynomial Derivative Estimator. My tasks involve refining mathematical and statistical models, analyzing data, and conducting literature reviews. This role allows me to contribute to cutting-edge research while advancing expertise in mathematical and statistical modeling techniques.

Folitse Denis Sedem

Work experience
  • Having a discussion with students
  • Teaching student how to use Minitab and other Statistics tools

Folitse Denis Sedem

Work experience
  • Administrative activities
  • Teaching students how to use Statistical Analytics tools such as R, Excel, Spss etc