Aleksandr Algazinov

Data Scientist

Dubai, United Arab Emirates4 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

4+ years of Machine Learning experience
Developed innovative solutions for major banks
Strong background in AI and data mining tools

Stackforce AI infers this person is a Fintech Data Scientist with expertise in AI-driven solutions and advanced analytics.

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Skills

Core Skills

Large Language Models (llm)Multimodal AiNatural Language Processing (nlp)Time Series AnalysisBig Data

Other Skills

LLM-AgentsPythonAnomaly DetectionStatistical ModelingDeep LearningMachine LearningApplied ResearchMathematical OptimizationPySparkFinance

About

Data Scientist at the biggest bank in Russia and Computer Science student at Tsinghua University. Leveraging 4+ years of Machine Learning experience, including 3+ years as a Data Scientist at Russia’s two biggest banks and 1+ year as a Researcher, to solve complex business and research problems using advanced AI and data mining tools. I am sure that Data Science is no longer just about being proficient in creating machine learning pipelines, but also about continuous self-improvement. Hence, it is crucial to be able to learn quickly and adapt to new trends and tools. On top of that, it is necessary to constantly apply newly acquired knowledge in real datasets and projects. This helps one understand the underlying logic of the methods and the details of how they work in practice. Therefore, I constantly work on my pet-projects and study the relevant literature and trends in the field

Experience

Sberbank

Data Scientist

Oct 2025 – Present · 5 mos

LLM-AgentsLarge Language Models (LLM)

Tsinghua university

Researcher

Aug 2024 – Oct 2025 · 1 yr 2 mos

Work on Multimodal Information Processing (NLP, CV, Audio) tasks at THUIAR Lab

Multimodal AITime Series Analysis

Vtb

Data Scientist

Sep 2023 – Aug 2024 · 11 mos

Created a pipeline for clustering and hierarchical classification of text requests received by technical support. The approach significantly reduces the average processing time of a request.
Designed an approach to assessing the anomaly of observation on time series. The method detects and prevents potential anomalies in information systems.
Created a time series classifier and integrated it with other tasks (forecasting/anomaly detection).

Natural Language Processing (NLP)Time Series Analysis

Sberbank

Data Scientist

Mar 2022 – Sep 2023 · 1 yr 6 mos

Provided the first solution for forecasting demand for sausage factory products. The client called the results phenomenal and began to use them to estimate the volume of production and supply of goods.
Fully responsible for around 15 projects for clothing stores, supermarkets, grocery, and pet stores. Helped clients evaluate the potential of existing outlets and find the most promising and profitable locations for opening new ones.
Analyzed the pairwise interactions of grocery products, and proposed a new approach to personalized recommendations.

PythonBig Data