Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 5

- Winner of All-Ukrainian competition of student's scientific papers in "Mathematical methods, models in economics" (2016);
- Created documentation and user flow for ISO medical certification compliance;
- Hired 1 developer and 1 QA.
- Deep Learning Specialization (5 courses) from Coursera, Andrew Ng.
- Managed data science team(1-4 people).
- Developed system to notify user and doctor about occurrences of arrhythmias.
- Developed new architecture of ML-based biomedical signal analysis.
- Developed desktop application for multi-stage annotation for ML models in PyQT5, to assess performance of every stage of algorithm.
- Developed ECG signal quality assessment, for fast troubleshooting feedback to user.
- Taught myself cardiology.
- Developed biomedical signal processing pipeline for health analytics.
- Wrote three US provisional patent applications.
- Implemented methods from scientific papers.
- Chose proper sensor parameters (device registers) after reading device datasheet and application note.
- Minimized calculation burden and implemented data compression algorithms in cooperation with firmware developer.
- I'd like to work on the company's computer.
- I'd like to have opportunities for growth to lead/managerial positions.