Andrei Nasonov

- Composed 4 ML instruments into a unified research framework, increasing critical pipeline's speed 1.4 times.

- Created an integration testing system, increasing deployment frequency in 4 repositories 5-fold.

- Developed a platform for ML experiments, allowing the research team to drastically increase profit margins.

- Introduced portfolio metrics into the research landscape by creating a data visualization system.
- Developed a data lineage and artifact tracking system, radically improving the experimental environment.

- Improved upon Data Vault modeling framework, freeing up to 20GB of space in data storage.
- Led an effort to ensure compliance with privacy regulations, depersonalizing 1TB of personal data.

- Delivered a pipeline to process over 200GB of logs daily.

- Designed data architecture for CV project processing over 1000 image features in a minute.

- Hired and mentored a team of ETL developers.

- Led refactoring of DS project from Python to PostgreSQL increasing overall speed 10-fold.

- Developed a program for credit pipeline log-file parsing.
- Implemented a pipeline for mobile phone tariff data processing.

- Developed a neural network for osteoarthritis diagnosis