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Intensive manual work of forecasting various measures of interest such as sales, revenue, game installs, and more to identify patterns in the available data to predict Customer Lifetime Value 


Worked with company’s data engineering team to develop, experiment and operationalize  NLP and ML models that can solve business use-cases related to forecasting revenue, sales, marketing, and more

Fuse Impact

Forecasted revenue results within 20% of real value, which outperformed all other business analytics methods

Time Series Forecasting for Customer Lifetime Value

An American publicly traded video game company that operates within North America and Europe with an estimated market cap of more than $10 billion.

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