Alexandre Zajic
Risk Data Scientist at Petal
Expertise: Machine laerning, deep learning, time series analysis
Education: University of Richmond
Alexandre Zajic is a risk data scientist for the fintech company Petal, where he builds credit machine learning models on traditional and alternative data sources. Zajic has worked in data since 2019, previously holding roles as a data scientist for Flow Research Collective and as a senior credit analyst for Mission Lane. Zajic holds a bachelor’s degree in philosophy, politics, economics and law from the University of Richmond.
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Akaike Information Criterion (AIC) is a metric with a single number score that measures which machine learning model is best for a given data set, in comparison to other models for the same set. Here’s what you need to know.