Data Scientists

Our consumer goods data scientists have exceptional experiences in both data science and consumer goods vertical.

Core Skills Vertical Skills
  • Machine Learning
  • Nearest Neighbor analysis
  • Naive Bayes
  • Linear Regression
  • Logistic Regression
  • Bayesian time-series forecasting models
  • Decision Trees
  • Neural Networks
  • Cluster analysis
  • Natural Language Processing
  • Discriminant analysis
  • Support vector machines
  • Random forests
  • Classification and regression trees
  • Time series analysis
  • Python Programming
  • R Programming
  • SAS Programming
  • Marketing campaign (test/control) analysis
  • Customer Life time value and Lifecycle
  • Customer loyalty analysis
  • Marketing Personalization, predictive analytics and targeting
  • Fraud detection
  • Customer churn
  • Customer segmentation and trend forecasting
  • Customer relationship channel optimization
  • Demand forecasting
  • Price elasticity and margin analysis