Timur Kamaliev
Senior Data Scientist
Tatarstan, Russian Federation
Summary
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Rockstar🎓
Top SchoolTimur Kamaliev is a Senior Data Scientist with six years of applied experience in ML engineering and production analytics, currently driving data science initiatives at Yandex. He progressed from process optimization and APC consulting in industrial automation to leading ML projects at 1221 Systems and Innostage, combining domain knowledge with robust modeling skills. Trained as a Machine Learning Engineer at Mail.ru Group's MADE academy and holding advanced engineering degrees from Kazan National Research Technological University, he brings a strong research foundation to practical deployments. An active GitHub contributor to the popular DataTalksClub machine-learning-zoomcamp, he has shared homework solutions and a prediction API example, demonstrating commitment to reproducible learning and ML best practices. Based in Tatarstan, he blends academic rigor with hands-on production experience across industry and platform-scale environments.
6 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Engineering, Doctor of Philosophy - PhD Engineering at Kazan National Research Technological UniversityMachine Learning Engineer, Machine Learning Engineer at Академия больших данных MADE (by Mail.ru Group)
Russian, English
Github Skills (9)
machine-learning10
jupyter-notebook10
python10
http-request9
kubernetes-pods9
tensorflow9
rest-api9
deep-learning9
kubernetes9
Programming languages (4)
Github contributions (5)
DataTalksClub/machine-learning-zoomcamp
Oct 2021 - Dec 2022
Learn ML engineering for free in 4 months!
Role in this project:
ML Engineer
ML EngineerContributions:16 reviews, 16 commits, 14 PRs in 1 year 2 months
Contributions summary:Timur made several contributions focused on solutions for Zoomcamp homework assignments, including code modifications, and solutions. The user added a homework 1 solution and also made small fixes to the description of Question 6, specifically in a Jupyter Notebook file. Furthermore, the user added the solutions for homework 5 and homework 9. In addition, the user added a solution for homework 10, which includes the creation and use of a prediction API with `requests`.
xgboostpythonmachine-learningdata-science
SVizor42/mlbookcamp-code
Oct 2021 - Sep 2023
The code from the Machine Learning Bookcamp book and a free course based on the book
Contributions:29 pushes, 2 branches in 1 year 11 months
pythonmachine-learningdata-science
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