Build tools and run analyses using Data Science environments such as Python.
Leveraging predictive analytics to identify challenges and opportunities before they occur.
Developing custom optimization algorithms to maximize efficiency and profitability.
Implementing customer segmentation models to personalize your marketing and products.
Using customer lifecycle modelling to improve customer acquisition, retention, and engagement.
Building models to analyze business problems, experiments or complex causal systems.