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Huygens Ravelomanana

Huygens Ravelomanana

Location: Canada

Technology Skills: Jupyter, Scikit-learn, TensorFlow, transformers, PyTorch, statsmodels

Languages: Python, SQL

Huygens is a Data Scientist with hands-on experience in processing a variety of data. Specialized in mathematical modeling, and data analysis. Delivered stand-alone data service via API, time series forecasting models, and transformers-based deep learning models.

  • Doctor of Philosophy in Mathematics, Topology from Université du Québec à Montréal
  • Master of Science in Mathematics from University of Cape Town
  • Bachelor of Science in Applied Mathematics from University of Antananarivo
  • Post-Graduate Diploma in Applied Mathematics from African Institute for Mathematical Sciences

In our Lab, Huygens has been heavily involved in feature engineering efforts for both capacity and attrition models.

  • Delivered a dashboard to monitor and predict Covid-19 infections for the eastern and southern part of Africa. Data from multiple countries were used to fit a mathematical model of infectious diseases (SIRD model)
  • Designed and delivers high-level mathematics university classes while utilizing math abilities to solve data science problems. 

Interested in engaging Huygens for a project? Fill the form below and we will email you his CV.

P33 Global Data Lab