Camila Rangel

Data Scientist

Camila has a PhD in Particle Physics, with a strong background in data analysis, data mining, statistics and software development. She has experience implementing machine learning algorithms in academic contexts and commercial applications acquired whilst in the S2DS program (Science to Data Science 2016). Camila works with our clients to analyse their Adaptive Comparative Judgement data and with our technology teams to develop the next generation of assessment technologies using Machine Learning and Natural Language processing. Camila previously worked with one of the experiments from the Large Hadron Collider at CERN before joining Digital Assess.