Data Science Core Skills
Based on scientific methods, processes, algorithms, and systems, Data Science core skills help Consumer Goods businesses gain insights from structured and unstructured data.- Machine Learning
- Nearest Neighbor analysis
- Naive Bayes
- Linear Regression
- Logistic Regression
- Python Programming
- Bayesian time-series forecasting models
- Decision Trees
- Neural Networks
- Cluster analysis
- Natural Language Processing
- R Programming
- Discriminant analysis
- Support vector machines
- Random forests
- Classification and regression trees
- Time series analysis
- SAS Programming

Vertical Skills
Our Data Scientists have all the core skills in Data Science combined with these skills in the Consumer Goods vertical.- Marketing campaign (test/control) analysis
- Customer lifetime value and life cycle
- 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