Aleksei has a degree in Neuroscience from Saint Petersburg State University. Previously he worked as a Data Scientist and Software Developer at QuantumBrains where he contributed to the development of quantitative trading and investment management. In recent years Aleksei is leading the R&D team at Wrike Inc. working with marketing/sales/ engineering teams using AI / DL technologies for business and product improvements.

Speech

Topic: Deep Learning for Job Titles categorization

Short Description: We will talk about the problem of the client segmentation based on raw text job title and job description data. We consider different approaches and hacks to create automated job title classifier starting with text data visualization techniques, statistics, clusterization and continuing to topic distribution methods and deep learning. We consider Keras (Tensorflow) based architectures more detailed as DL-based solutions are more scalable, flexible and easy to maintain according to our experience in Wrike Inc.