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Almaz Alimzhan

@almazalimzhanConnected with DSML. This person's Telegram account has been confirmed through DSML Kazakhstan.

Data Scientist/ML Engineer

I am a Data Scientist at Kazakhtelecom, working on machine learning, NLP/LLM workflows, document analysis, procurement analytics, and SQL/Python data pipelines.

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Learning with othersResearch collaborationProject collaborationHiring & referralsStartup collaboration

About

My experience includes tender win/loss modeling, AI-assisted document analysis, structured extraction, and geospatial analytics with large-scale telecom data. I am also an MSc student in Applied Mathematics, focused on optimization, Extreme Value Theory, and statistical learning. I am interested in applied ML, LLM systems, RAG, and production AI tools.

Career

Experience: 2 years

Experience

Data Scientist

JSC Kazakhtelecom

Kazakhstan's national telecommunications operator.

Present

Built procurement modeling and document-analysis prototypes, data pipelines, and geospatial telecom analytics, including analysis of 200,000+ procurement records and 6M+ Speedtest measurements.

• Prototyped a tender win/loss classification and bid-pricing analysis workflow in Python and scikit-learn on 200,000+ procurement records, including feature engineering, model evaluation, and scenario analysis. • Developed SQL/Python pipelines to clean, join, aggregate, and validate large telecom and procurement datasets for modeling and recurring analytics. • Built a local LLM/RAG prototype for technical specification analysis using FastAPI, PyMuPDF, Ollama, and FAISS, including document parsing, semantic retrieval, summarization, structured extraction, and Q&A.

Research Assistant, Part-time

Nazarbayev University

A research university in Kazakhstan.

Dec 2025 — Dec 2025

Worked on rare-event modeling and uncertainty research using statistical methods and Python-based computational experiments.

• Worked on optimization, Extreme Value Theory, and statistical learning methods for rare-event modeling and decision-making under uncertainty. • Developed Python-based computational experiments for statistical and geospatial research.

Education

MSc, Applied Mathematics

Nazarbayev University

2025 — 2027

BSc, Mathematics

Nazarbayev University

2021 — 2025

Selected projects

TechSpec AI

Built a local RAG prototype for procurement PDF analysis with document parsing, chunking, semantic retrieval, summarization, structured extraction, and document Q&A.

EVT Speedtest Analysis

Applied Extreme Value Theory to study rare adverse network-performance events and tail behavior in large-scale telecom measurements.

MSc Thesis Research

Applying statistical learning and Extreme Value Theory to rare-event modeling using environmental and geospatial datasets.

Skills

PythonSQLPandasNumPySciPyGitLinux basicsscikit-learnXGBoostclassificationregressionfeature engineeringcross-validationmodel evaluationRAG fundamentalsdocument parsingsummarizationstructured extractionlocal LLM workflowsFAISS