Position: Lead / Senior Data Scientist (Machine Learning)
Category: Data Science
English level: fluent
Years of experience: 7

- Improved relevance of recommended items by ~30% by implementing a machine learning-based recommendation system, leading to investments from Google’s Assistant fund
- Reduced “time-to-find” by ~40% by implementing a machine-learned ranking system
- Implemented a neural language model-based post-processing stage for the correction service. This resulted in a 2x drop in a false positive rate.
- Implemented an unsupervised categorizing system for vessel failure reports as a REST API that sped up early detection of failures in ship systems.
- Created a streaming service for IoT data enrichment and correction using Python and Kafka. Ensured high availability and accuracy of the vessels’ data.
 - Automated an optimal distribution of the personnel across a fleet. Reduced time costs from 1 week to a few seconds
- Reduced money costs by up to 10% by implementing a service to provide the cheapest route b/w ports
- Developed a fraud detection system that decreased marketing costs by 25%
- Developed a duplicate detection system that significantly improved the accuracy of a reporting system
- Top 2 in intensive 3-months Data Science.NLP offline course (2018; graduated with honors; the final project is available on GitHub)
- Developed a machine learning-based system to detect spam in SMS messages written in Ukrainian / Russian languages and translit. The data for the project was crowdsourced and labeled manually (available on GitHub)
- More than 7 years of experience in the field of Data Science and Machine Learning
- Designing and delivering the production-ready DL / ML systems from the scratch
- Owning the full data science life cycle from the problem formulation to prototyping, testing, deploying, and monitoring
- Team-leading
- Extensive knowledge of computer science & data structures, ML & DL algorithms, and ML System Design