Community geography
The total includes every profile, including private ones. Geography and growth use the public directory.
- All profiles
- 1,145
- Cities
- 89
- New / 30 days
- 300
Community in action
The people behind DSML Kazakhstan events, research talks, olympiads, competitions, and community formats.
Organizing & knowledge
Olympiads & competitions
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All people
Browse public community profiles by work, location, or collaboration interests.
Adlet Ganiyev
@mechmater
Lomonosov MSU
I’m genuinely interested in Data Science and Machine Learning and see them as a natural extension of my analytical background. With a degree in Applied Mathematics, I’m excited to apply my mathematical foundation to building data-driven solutions and continuously deepen my expertise in this field.
Arman Suleimanov
@suleeimaanov
Financier
I am a statistician by training, and I studied and used RStudio and Gretl analytical programs at university, which allows me to work confidently with data and reporting. Currently, I work as a financier in a private company, where I am engaged in financial accounting and control, reporting preparation, and cash flow analysis.
Nurmat Gabdollaev
@nurmat
Меня зовут Нурмат, я Software Engineer с опытом работы с Java, Spring Boot и Angular. Имею опыт разработки и поддержки веб-приложений
Alinur Aitey
@aitey
Middle Credit Risk Analyst · ForteBank
I’m a Risk Analyst/Data Analyst with 4 years of work experience. Currently working in ForteBank
Dariya Kalymova
@darius
Master's student · Applied Math
Master's student in Mathematics at NU. Interested in AI, machine learning, data science, and quantitative finance. Experienced in Python, SQL, and LLM-based applications. Open to networking and new opportunities.
Yerali Agibayev
@5tuppl
Astana IT University
I'm Yerali Agibayev, a Mathematical and Computational Science undergraduate at Astana IT University and a mathematics mentor at HardMentors, where I help students build real problem-solving intuition. Math is the core of how I approach everything — I've worked through multivariable calculus, ordinary differential equations, linear algebra, and group theory, and I don't just study these topics, I apply them: mathematical foundations are what let me treat ML/DS rigorously instead of using models as black boxes. On the applied side, I'm interested in low-resource NLP for Kazakh, RL for LLMs, and reproducible research, with practical engineering skills in Python and SQL.