Ramsés Muñoz

Senior Associate

Based in Montreal, Canada. Originally from Colombia.

Fluent in English, French, Spanish, and Intermediate Portuguese

Ramsés has more than fifteen years of experience as a data scientist and has performed advanced quantitative and statistical analyses for international organizations (i.e., UNICEF, UNHCR, UN Women, IDRC) and for multibillion-dollar companies such as Cogeco Connection, Pratt & Whitney, ExxonMobil, BHP Billiton, Glencore, and Nestle. He possesses advanced knowledge of quantitative programs and software such as Excel, SQL developer, SAP, and Oracle Business Intelligence, through which he has produced live dashboards used to monitor key performance indicators and report in real-time to senior management. He also has strong expertise conducting time-series analysis and regression, applying trend and seasonality models to provide weekly and monthly forecasts used for operational decision-making.

Ramses recently participated in the 2018 GEROS Meta-Analysis by conducting quantitative analysis to aggregate data and analyse trends in the quality of evaluation reports commissioned by UNICEF. He is currently providing similar support for UN Women, aggregating data and producing graphs on the quality of strategic notes produced by country offices. Last year, he worked with Universalia Management Group on the Evaluation of UNHCR’s Global Fleet Management by analyzing and performing statistical tests on large quantitative datasets (from more than 100 country offices) to calculate overall cost-savings generated by the centralization of UNHCR’s light vehicle rental scheme, insurance and disposal.

An industrial engineer, Ramsés possesses a Masters degree in Supply Chain Management from HEC Montreal, one of Canada’s top business schools. He has lived in Canada and in Colombia.