MLBytes Workshop: Amita Gajewar, Microsoft
Multiple finance organizations within Microsoft rely on having accurate financial forecasts for critical business decisions. One such organization, Enterprise Partner Group, serves the largest commercial and public sector organizations across the globe with total products' revenue in the range of tens of billions of dollars worldwide. Generating up-to-date, accurate predictions with manual forecast methods can be challenging, and therefore, Microsoft Finance sought a solution that can rely on state-of-the-art Machine Learning algorithms. In this talk by Amita Gajewar, she will explain revenue forecasting models that she developed to forecast quarterly revenue for enterprise products in several regions across the globe and their world-wide aggregate. These machine learning models are now deployed into the production pipelines and are adopted by Microsoft's Finance organization as part of their quarterly forecasting process.
Amita Gajewar is a Senior Data Scientist in Cloud + AI group at Microsoft and prior to that she has worked on various projects in the domain of computational advertising at Microsoft and at Yahoo.