Maxim Kuznetsov

Developing, implementation and supporting machine learning applications, realized various risk models which estimates components like PD (probability of default), LGD(loss given default), EAD(exposure at default) for customers in corporate segment.

Languages and Tools:
Python, PyCharm, Flask, JSON, SQL, noSQL, Hadoop, Spark, PySpark, Pandas, Scikit-Learn, Light GBM, Jenkins, Openshift, Nexus, Bitbucket, Confluence, Jira, MobaXterm

• Designed internal process improvements to automate repetitive tasks, shortening data delivery times
• Unified disparate data structures and operating environments during revamps, increased data reusable
• Designed data models for complex analysis needs
• Data migration from legacy systems
• Created and managed data architecture of corporate department
• Designed data flows and developed methodology and standards for data pipelines, processing and building data mart
• Managed of data quality

Languages and Tools:

SQL, PL/SQL, Oracle, Teradata, PostgreSQL, Hadoop, SberCloud, Spark, Kafka, Power Designer, Visio, Confluence

• Designed data pipelines from various data sources to data marts
• Developed and implementation ML models on that data marts
• Analyzed complex data and identified anomalies, trends and risks to provide useful insights to improve applications
• Created of data marts (DM) and implementation of machine learning models to automate of creating of pre-approved loan offers for medium and large companies
• Designed data flows and ML algorithms for compliance department needs and for data monetization platform

Languages and Tools:

Scala, Python, SQL, Oracle, Teradata, Hadoop, Hive, Impala, Spark,

Jenkins, Openshift, Nexus, Bitbucket, Confluence, Jira, MobaXterm, AWS: VPC, EC2, EKS, RDS,S3, ELB, ASG

• Designed customized data collection models for specific visualization tasks.
• Liaised with DevOps team to integrate business intelligence assets into future development lifecycles.
• Responded to specific BI requests from creating data packets with requested information in easily understandable formats.
• Designed and developed ELT pipelines and dashboards.
• Automation of data collection and construction of a planning, control and monitoring system for the performance of client managers
• Data analysis, developing ETL pipelines and QlikView dashboards for C-level persons of corporate department of Sberbank

Languages and Tools:
SQL, QlikView, Oracle, Teradata, Hadoop, IPC, IBDM, PL/SQL

• Collected data from wide-ranging sources.
• Developed data quality management system which track data lineage from source systems to DWH
• Developed data marts and intelligence-sharing dashboards, providing access to collected data.

Languages and Tools:
SQL, Oracle PL/SQL, QlikView, Siebel Tools, Teradata, IPC, SAP BO

• Implemented of DWH projects in large banks
• Data migration from legacy storage systems
• Examined various data sources and mapped on target schemas
• Designed and described detail data layers
• Designed and developed data flows and data marts

Languages and Tools:

SQL, Oracle PL/SQL, PowerDesigner, Oracle BI, IPC

• Discovered root causes of problems and identified appropriate solutions.
• Analyzed unstructured information to derive key insights.
• Queried databases for information needed for report processing.
• Support and development of a data warehouse and reporting system for the formation of regulatory reporting by the Central Bank of the Russian Federation

Languages and Tools:
Excel, SQL, Oracle PL/SQL, MS SQL Server