Oil and gas
Monitoring and automation of processes, NLP tasks, forecasting of various phenomena.
Detector, segmentator and set of rules for determining damage
A model for searching for structural damage on a small volume of images
Segmentation of objects for drone photos
used open data with segmentation annotation from drone, build a segmentation model to find different classes: people, bicycles (22 classes)
Different NLP tasks for Oil and Gas company
- build a big inner email communication graph
- did different tasks for email texts (topic modelling, named entity recognition, sentiment analysis)
- extract non-formal groups in a company based on the topics and entities
Data science You Tube channel
More than 50 research videos (data science, front-end, back-end, product management)
Training course for students and interns of the company
- developed and launched the educational course “Machine Learning in Business”
- trained over 150 students
