- · Astana, Kazakhstan
My research focuses on real-time interactive systems, computer vision, and conversational avatars
- deep learning
- computer vision
- diffusion models
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- · Astana, Kazakhstan
My research focuses on real-time interactive systems, computer vision, and conversational avatars
Ufa, Russia
Data analyst with 5+ years of experience across fintech, edtech, crypto / web3, and venture capital. I work at the intersection of data and business: building dashboards and financial models, running funnel and cohort analysis, and translating complex datasets into insights for executive stakeholders. Strong background in applied mathematics (MIPT).
Almaty, Kazakhstan
I currently work as a Data Analyst and want to transition into Data Science. I have theoretical knowledge of machine learning and hands-on experience through projects. I’m eager to deepen my ML skills and apply them to real-world problems.

DSML Reading Club Meeting #10 Speaker: Arystan Shokan Arystan Shokan earned a master's degree in mathematics from Boston University. His main research interests are in geometry and topology, including algebraic geometry, complex geometry, algebraic topology, differential geometry, and combinatorial geometry. Arystan also wrote a survey paper on Combinatorial Hodge Theory. At this meeting, Arystan will talk about Topological Data Analysis (TDA). In the seminar, we will explore how Topological Data Analysis can be used to study the shape and structure of data, especially when periodicity and cyclic states are present. We will discuss the key ideas of homology, Laplacians, and Betti numbers. Prerequisites: Linear Algebra 📅 Thursday, October 1, 12:00 KZ Time ➕ Add to calendar: https://calendar.app.google/rY4ghKSXMTBAQx186 ⚠️ Important about the meeting link: Only those who add it to their calendar will get access to the meeting—the Google Meet link will be inside.
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At the tenth DSML Reading Club meeting, Arystan Shokan will discuss Topological Data Analysis and how to study data shape and structure.
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NeurIPS 2026 will feature 16 competitions in scientific AI, healthcare, foundation models, robotics and other fields.
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Asel Yermekova compiled a structured collection of open Kazakh-language datasets for NLP, speech, and computer vision.
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