Data Engineer( INFODECS )

Описание

VLADIMIR MATVEEV � +7 705 567 6286 �Belgrade, Serbia Rvladimirmatveevrytehealth@gmail.com �vladimir-matveev ABOUT Data Engineering and Machine Learning Specialist with over 7 years of experience in delivering high-impact solutions in the FinTech industry. Proven expertise in developing and optimizing production models for risk assessment using classical machine learning, time series analysis, and NLP techniques. Experienced at executing full-cycle ML pro jects from inception to deployment, as well as enhancing existing models with quantifiable improvements. My diverse hands-on experience with data processing tools, coupled with a strong academical foundation in physics, enables me to design and implement scalable, complex solutions that drive measurable business outcomes. SKILLS Programming languages Python, SQL, Scala, R Cloud technologies AWS, Azure Databricks Databases & data processing PySpark, Hadoop, Airflow, PostgreSQL, Oracle, Teradata, SAS Machine learning scipy, sklearn, xgboost, catboost, nltk, spaCy, TensorFlow, PyTorch, LLM Infrastructure Linux, Docker, Bitbucket, git, cli EXPERIENCE Senior Data Scientist May 2024 - Present Raiffeisen Bank Remote • Validated credit risk models to meet regulatory standards for both the European Central Bank and the Central Bank of Russia. Automating the validation process through ETL pipelines and a distributed architecture. • Developing executive-level reports using Power BI. Senior Data Scientist Jan 2023 - Apr 2024 Bank CenterCredit Almaty, Kazakhstan • Designed and implemented credit and fraud scoring models leveraging tabular, textual, and panel data as the foundation for classical machine learning, natural language processing (NLP), and time series analysis. Achieved a €3 million quarterly savings for the bank, improved the payout ratio by 10%, and reduced non-performing loans by 5%. • Designed and implemented a scalable MLOps infrastructure that streamlined model deployment and monitoring, reducing time-to-production by 20%. • Spearheaded the integration of complex machine learning models into a production environment, ensuring seam- less data flow and processing across multiple systems. • Served as a key liaison within my team, regularly presenting progress updates and results to stakeholders, building trust and ensuring alignment with business ob jectives. Senior Data Scientist Feb 2022 - Jan 2023 Ryte Health Almaty, Kazakhstan • Built 5 new models for classification (Random Forest), regression (Logistic Regression), NLP text classification (Bert) and AI text generation (LLM), each of which had its own impact on business performance. • Developed and optimized end-to-end data pipelines using PySpark and Azure Databricks, enhancing data pro- cessing efficiency by 22% and enabling real-time analytics for business-critical decisions. Data Scientist Oct 2020 - Feb 2022 Sberbank Moscow, Russia • Forecast loan portfolio risk levels and developed a stress testing system that lowered the bank’s loss rate by 1%. • Engineered and maintained robust data architectures to support complex time series forecasting models, lever- aging Docker and Bitbucket for continuous integration and deployment, thereby improving system reliability and scalability. • At the end of 2021, I received an award in recognition of my contribution from Sberbank’s Chief Risk Officer. Model Risk Analyst Sep 2019 - Oct 2020 Promsvyazbank Moscow, Russia • Developed models that boosted loan approval rates by 10% while reducing defaults by 5%, achieving a Gini coefficient of approximately 50-55%. • Enhanced data integration processes by developing and implementing efficient data models and ETL pipelines, resulting in a 15% improvement in data quality. Data Analyst Sep 2016 - Jan 2019 Sberbank Moscow, Russia • Collaborated in the design and prototyping of big data solutions using Spark SQL, achieving a 40% reduction in processing errors and a 20% increase in data throughput. • Accomplished a notable enhancement in data quality, which led to a 10% surge in disbursements in a specific lending segment. EDUCATION Computer Science, M.Sc. 2016 - 2018 Moscow Institute Of Physics and Technology Physics, B.Sc. , 2010 - 2016 Lomonosov Moscow State University