Solid knowledge and experience of supervised, unsupervised machine learning algorithms. For e.g (but not limited to) : linear regressions, bayesian regressions, multi objective optimization techniques, classifiers, cluster analysis, dimension reduction etc.
Understanding of techniques like Market Mix Modelling, Price Elasticity models, Sales Promo Uplift Modelling, Vehicle Route Optimization
Good knowledge of statistics For e.g : statistical tests distributions
Experience in Data analysis For e.g : data cleansing, standardization and data preparation for the machine learning use cases
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