Position: Data Scientist / Machine Learning Engineer
Category: Data Science
English level: fluent
Years of experience: 6

Led several projects in the field of genomic analysis, some required implementing scientific papers from scratch, and each of them reached the clinics and is now used by some of the world's largest labs and hospitals.

Automated lunch ordering for my team with web scraping and Google spreadsheets :)

Wrote a bachelor's thesis on the application of clustering in political science, and there were some interesting results)
R&D engineer with 6 years of commercial experience in startups of various stages: from pre-seed to acquisition.

Worked in healthcrae, transportation and fintech domains on roles that involved 
* software engineering (from scratch and in legacy codebases; Python as the main language),
* data engineering (mostly in-house pipelines and AWS),
* data analysis and machine learning (mostly tabular and graph data commercially, self-studied image and text domains).

Familiar and comfortable with startup environment and distributed cross-functional teams, communicating results to non-technical stakeholder, being part of research projects, working in regulated domains.
My perfect job is one where I can learn new things and create useful products.

Not interested in pure web development roles.