People in DSML Kazakhstan

Backend developer (Java, Spring) with four years of experience in public-sector and payment systems. I'm learning agentic AI and LLM tooling, and I'm interested in applied ML, data engineering, and connecting with the local community.

ML Engineer с опытом на Python, охватывающим полный цикл ML-разработки: подготовка и анализ данных, эксперименты с моделями, подбор признаков и гиперпараметров, оценка качества и интеграция моделей в продукт через REST API. Работала как с классическими алгоритмами машинного обучения (коллаборативная фильтрация, gradient boosting, SVM, логистическая регрессия), так и с современными Transformer-моделями и LLM-системами. Есть практический опыт построения и автоматизации ML-пайплайнов, CI/CD, контейнеризации и мониторинга качества моделей и данных после запуска в проде.

DS/ML background in banking, media, Ecom, telecom. CTO at health-tech app. Do some AI engineering stuff, mainly rags, multi-agent systems and etc

I am a Senior Data Scientist and ML Engineer with experience in banking, credit risk modeling, fraud detection, model validation, and pricing optimization. I specialize in Python, machine learning, statistical modeling, and deploying data-driven solutions that improve business performance.

I am a Data Analyst with 8 months of experience at SDU Data Analysis Lab, where I worked on text data analysis, topic modeling, and sentiment analysis. My interests include Data Science, Machine Learning, and NLP. I have experience building ML models for customer churn prediction and cross-selling using LightGBM and CatBoost, as well as developing BI dashboards and data analysis projects. I enjoy turning raw data into meaningful insights and using machine learning to solve real-world problems. I am eager to continue developing my skills in Data Science and Machine Learning and gain more hands-on experience.

I am a data analyst with experience in data analysis, web analytics, data analytics engineering and economic research. Currently I am exploring various AI solutions and tools and have created AI assistants with the use of RAG approach. My core stack and platforms include: Python, SQL, statistical analysis, research skills, Google Analytics, GTM, Looker Studio, Tableau, Power BI, Snowflake, dbt. I have experience in data modeling and working with databases like Postgres, Snowflake.

I'm a Cyberphysics graduate with a strong interest in Data Science, Machine Learning, and Data Engineering. I completed a Data Science program at nFactorial School, where I gained hands-on experience with Python, SQL, pandas, scikit-learn, and data analysis. I've worked on ML projects involving credit default prediction and classification, as well as learning projects using Apache Kafka and Airflow. I'm particularly interested in building data pipelines, working with large datasets, and applying ML to solve real-world business problems.