Moscow · $500 · Upper Intermediate
Competed in kaggle Courses: Andrew Ng machine learning, ODS mlcourse.ai Searching for internship or junior position. Want to develop in data science/machine learning field
Python, Machine Learning, SQL, Data Science, scikit-learn, numpy, pandas, Git, Jupyter Notebook, Linux, Matplotlib, DS, Data Science in Python
Student of School 21(franchise Ecole 42) Student of Bauman Moscow State Technical University
Interesting projects and great team. Ready for self-development
Moscow · $2000 · 7 years of experience · Advanced/Fluent
I want to start working with NLP or CV (both areas hold my attention as of now) in a team with a good mentoring attitude. I can offer not only to complete my own tasks but also to help others and propose insights on the current problems. Although I'm okay with writing some production code, I would prefer to dive deep into research (that is, it would be nice to have a 20/80 or a 30/70 balance between the two). While I also can prototype a frontend app, I would love not to. I certainly won't do any HTML/CSS stuff.
Remote work, Russia · $5000 · 10 years of experience · Upper Intermediate
I have been writing in Ruby for about 10 years. The last year I'm doing Data Science in Python. I worked with different projects in different areas: travel, video streaming, email marketing, VPN service, aero etc. There were projects with a lot of confusing business logic and a lot of legacy code. I also wrote projects from scratch and as a team lead built the team. I spent a lot of time on debugging difficult bugs and optimise bottleneck. I'm not afraid to try something new and I really like to learn something new. I focus on product and client requests but still spends enough time on making a good design of project architecture. I'm looking for a good team and an interesting project where you can apply my experience. I’m a little tired of companies where no one is ready to make decisions and don't let you do it. I’m looking for a team that is not afraid to change something to make the code easily supported, understandable and extensible.