Camila C. is an accomplished professional in machine learning and statistics, currently serving as an ML Engineering Manager, Tech Lead, and Applied Scientist at Yelp since September 2020, where focus lies on supporting off-platform advertisement products through machine learning and experimentation. Prior experience includes a role as Senior Data Scientist at The Climate Corporation, where Camila led the development of a soybean seed recommendation system and implemented predictive models. Additionally, as a Quantitative Researcher, optimization of soil fertilization through advanced modeling techniques was performed. Early career experiences encompass statistical consultancy at BC Children's Hospital Research Institute and teaching at The University of British Columbia, alongside actuarial work at Willis Towers Watson. Camila holds a PhD in Statistics from The University of British Columbia, complemented by both a Master’s and Bachelor’s in Statistics, and a Bachelor’s in Actuarial Science from the Federal University of Rio de Janeiro.
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