Position: Machine Learning / Computer Vision Engineer
Category: Data Science
English level: fluent
Years of experience: 3

Hackathons winner and participant, constant self-learning.
Main projects:
Computer vision R&D development and research. Image processing. 3D Computer Vision tasks. Object detection, tracking,  reconstruction.
Social networks analysis, natural language processing projects (news analysis, profiles analysis, person character estimation).
Tabular data science: SQL, Pandas, PySpark, anomaly detection, forecast.

Key responsibilities:
R&D computer vision:
Metric development, model selection, data processing, training, transfer-learning, demonstration of work. 

Social networks project:
Data collection, unstructured data processing, queries, estimations, natural language processing analysis of posts, and comments of a person for creating an overall person profile, clustering by person embeddings, friends, groups and interests.
Interested in computer vision, image-video processing, multimodal deep learning, algorithms/model development and deployment.