Position: Senior Data Scientist / ML Engineer
Category: Data Science
English level: fluent
Years of experience: 7

1. Kaggle Competitions Expert level.
2. A bunch of finished MOOC DS courses: 
- Ng's Deep Learning
- J.H.University Data Science Specialisation
- ODS open ML course
- CS-231n (Convolutional networks)
- HSE & Yandex ML basics
- Yandex's SHAD (Data Analysis School) courses
3. As I've said, I lecture at university (ML math basics course). In addition to deep intrusion into ML algorithms' basis, I try to help fresh students to get a bit more about their real future opportunities in industry, from the side of active specialist.
1. (currently) 6 months in Microsoft, Bing Core team, full-time remote. Improving SERP Question-and-Answering experience. EDA + ETL; Extract the most popular & intent queries from logs and push them through crowdsourcing. Use various SE / ML models to generate & check & filter queries / answers during data pipeline. Running A/B to prod. Built monitoring process for our QnA scenario.(business + data metrics). Used Python, SCOPE (internal SQL-like), Pytorch.
2. Two years at Yandex. Full-time office, Analyst, Researcher, fullstack DS/ML Engineer.  Created new product features using ML. I'm responsible for the whole feature development from gathering business desires up to micro-service deployment. Gathering & cleaning data, EDA, model selection & fitting, writing a production-ready code, model retraining, model-as-micro-service deployment, monitoring, logging. Used SQL, Docker, Python, Grafana, MR, internal Yandex tools.
3. (2020 spring) Lectures at university (ML math basics course) for master students. Prepared course plan, lecture presentations, homeworks, practice tasks. Lecture to students, give a seminars, check their homeworks etc. Main efforts are directed to math that different ML algorithms and methods are based on.
4. Two years in international startup (full-time remote). ML Engineer, Researcher, Analyst. Used Docker, Python, PostgreSQL, Flask. Built an MVP on analysing bitcoin blockchain structures
5. Two years as Software engineer
+ Fulltime remote team, business trips are adoptable
+ Small or medium team size, maybe startup
+ Diverse tasks: I feel myself much better as fullstack specialist
- Outsorce / outstaff: I prefer product companies
- Constant crunch / overtimes