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Open profile: Ibrakhim Amantay
Ibrakhim Amantay@1br4kh1m
New DSML profile

Almaty

Coming from a competitive programming background, I've always enjoyed solving tough algorithmic problems. Machine Learning felt like a natural next step because it shifts the focus from writing every rule manually to building smart systems that learn directly from data.

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Open profile: Nurs Kobe
Nurs Kobe@nursx
New DSML profile

Astana, Kazakhstan

NU master's student in CS. Machine Learning / AI. Experience in SWE >3 years in KZ and Korea. Maths Olympiad backhground.

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Open vacancy: Business Analyst (Strong Middle) — Client Analytics & Forecasting at Biometric.Vision

Business Analyst (Strong Middle) — Client Analytics & Forecasting at Biometric.Vision

New vacancy

Almaty / Office · 600,000 to 800,000 KZT NET per month

Biometric.Vision is an international AI company developing solutions in the areas of Face Biometrics, Digital Identity, KYC, AML, Fraud Prevention, and Identity Verification. Our technologies are utilized by banks, fintech companies, crypto platforms, telecom operators, and government organizations, creating production-grade AI products for international markets. Responsibilities: • Build regular and ad-hoc reports on customer, operational, and financial metrics • Clean, validate, and prepare raw data for analytics and automation • Build and maintain dashboards • Forecast customer and financial indicators, analyze deviations from plan/fact • Support automation processes: formulate logic, prepare data, assist with technical specifications • Collaborate with tech leads and development teams to turn analysis into working tools • Occasionally interact with international partners/providers in English Requirements: • Strong Middle level with a solid mathematical/quantitative background, including mathematical statistics • Proficient in SQL and Python (pandas, numpy) for data analysis and automation • Experience with databases and replicas • Experience in financial and/or operational analytics, including forecasting • Ability to transform raw, unstructured data into reliable results • Experience in direct interaction with development teams/engineers • English language proficiency at B2+ level (for communication with providers) • Practical, process-oriented experience with LLM tools (Claude, ChatGPT, Gemini, Cursor, etc.) — integrating AI into the data → analysis → report/technical specification → automation pipeline • Understanding of LLM limitations, the necessity of result verification, and data quality/privacy risks

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