German Customer Complaints Classification
Customer churn impacts the bottom-line of all businesses. In order to prevent churn, there needs to be a timely resolution of customer complaints and queries. A Manual classification by an agent costs time and money. In this talk, you will hear about utilizing Natural language processing on the German Language in order to answer customer complaints received through social media channels such as Twitter and Facebook.
Adithya is a Principal Data Scientist & AI Lead at Vodafone. He currently leads an international team of data scientists and data engineers to build predictive analytics and machine learning solutions. Before working at Vodafone, Aditya worked as a Data Scientist and Product Owner across multiple industries ranging from Antivirus to Advertising, where he was responsible for building data products that produced business value and insights from big data, through data mining & statistical modeling” He obtained his Masters in Natural Language Processing, a branch of AI from the University of Trento in Italy. He also has an MBA, with a Specialization in Managing Innovation and Technology from ESMT in Berlin.