People in DSML Kazakhstan

Меня зовут Нурмат, я Software Engineer с опытом работы с Java, Spring Boot и Angular. Имею опыт разработки и поддержки веб-приложений

I’m a Risk Analyst/Data Analyst with 4 years of work experience. Currently working in ForteBank

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.

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.

Junior Data Analyst with strong quantitative training in mathematics and hands-on experience in market analytics for the Pet Nutrition category across Kazakhstan and Turkiye. Skilled in Excel, SQL, Python, Power BI, Nielsen Discover, and Nielsen Answers for reporting, dashboarding, and commercial analysis. Experienced in transforming market data into actionable insights for recurring business reporting and decision support.

Software QA Engineer with 8+ years of experience testing web, desktop, API, and embedded automotive EV systems, combining manual and automation approaches to improve release quality and reduce production defects, along with a growing focus on using AI and Data to improve testing effectiveness. Experience spans REST microservices, trading platforms, banking, TV streaming, e‑commerce, and EV wall-box chargers in agile and hybrid (on-site, remote) environments. Quickly adapting to new tech stacks, owning automation frameworks, and collaborating closely with developers, testers, and product stakeholders. Using AI tools at a basic level to speed up test design, log analysis, and documentation, actively developing Data skills to move towards QA + Data hybrid roles.