Dmitry Sorokin Email & Phone Number

Dublin, Ie

Dublin, County Dublin, Ireland

Working in the QB Labs Horizontals department, I assist data science colleagues with both internal and client Data Science and Machine Learning projects. My role involves developing ML pipeline management tools, integrating these tools with ML Ops infrastructure, establishing effective ML architectures, implementing best software engineering practices in ML processes, and helping to resolve client issues.Technology Stack:Python, Kedro, Databricks (Spark), Airflow, Docker, Kubernetes, Git, MLFlow, MLRun, Ibis, SQL, LLMs, HuggingFace, OpenAI, LLaMA, TensorFlow, PyTorch

Managing a team of 7 people to build end-to-end ML models for predicting the profitability of banking products and clients churn in the third bank in Central and Eastern Europe:• Built a team from scratch. Team management process including assessment, career development, code review, mentorship.• Organized and implemented CRISP-DM process for model development• My team has built and deployed over 100 models to predict customer behavior and churn, provide the most appropriate banking products• We embed models into microservice architecture by providing APIs to internal clientsTechnology stack: Python, HBase, Hadoop, SQL, Docker, Dask, DVC, MLflow, Apache Airflow

Russian Federation

Managing a team of 3 people to build end-to-end ML models for determining the optimal pricing of banking products for customers:• Built a team of 3 ML Engineers from scratch• Built and deployed over 10 modelsTechnology stack: Python, Oracle

Development (data engineering, data science) and deployment (ML engineering) of ML models to predict the profitability of banking products in the largest bank in Central and Eastern Europe. Development of models to predict customer preferences.ML Validation Manager (small team) in Model Validation Department:• Confirmation of the quality of implemented models, testing of models• Audit of the model deployment process, code review

Москва, Россия

Development and deployment of ML models for optimizing banking products for the clients.Technology stack: Python, Oracle

Moscow, Russia

Development and deployment of ML models for mortgage lending clients.Technology stack: SAS, MS SQL Server

Master'S Degree, Computer Science, 4.7/5

Deep classical education in computer science at a leading university in Eastern Europe with a specialization in machine learning.

Master'S Degree, Statistics And Machine Learning

Modern approaches in the development of machine learning models from the most innovative university in Russia