Data Analyst

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Data Analyst
ID : 1438
Education level  : Master's degree
Work experience level  : No experience- (0 experience)
Work experience in total  : Years
Job type  : Online
Job time  : Maandelijks
Last date of registration :
2022-12-31
Profile description
Work experience In details :
Job position
Job description

Teacher - Siyendle High School, Nhlangano, Swaziland - (2019)

  • I was responsible for planning lessons, design, mark and grade tests and examinations for Form 1, 4, and 5 students. I was also responsible for designing and conducting Chemistry and Physics practicals.

Laboratory Chemist Intern - Royal Swaziland Sugar Corporation, Agronomy
lab - (2016)

I was responsible for testing soil, water, sugarcane leaf and sugarcane juice samples for various chemical compounds using different spectroscopy machines.

Hard skills
  • Python programming projects
    • valuation of European options,
    • valuation of Zero-Coupon bonds by Monte Carlo simulations
    • calibration of the Heston stochastic volatility model
  • R programming projects
    • fitting ARIMA - GARCH models
    • fitting data to copulas,
    • fitting data to the block maxima
    • PoT model
  • Kobo collect
  • EViews
Soft skills
Achievements

Awards and Honors

  • African Union Commission Scholarship (2019-2021) to study MSc Financial Mathematics.
  •  DAAD Scholarship (2017-2018) to study MSc Mathematical Sciences.
  •  African Leadership Academy Scholarship (2013) awarded by Africa’s Leading Schools Award, Midrand, South Africa.
  •  Southern Africa Interprovincial Mathematics Olympiad Finalist (2010), sponsored by the South African Actuarial Society.

Certificate

  • Swaziland General Certificate of Secondary Education
    • Evelyn Baring High School, Nhlangano, Swaziland.
    • November 2012
Special notes

Python programming projects: valuation of European options, valuation of Zero-Coupon bonds by Monte Carlo simulations, calibration of the Heston stochastic volatility model| R programming projects: fitting ARIMA - GARCH models, fitting data to copulas,fitting data to the block maxima, PoT model| Kobo collect, EViews

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