Aleksandr Berdyshev

Design, development, and support of scalable data pipelines, including building and productionizing ML pipelines. Automates data quality monitoring (including with LLMs), supports BI dashboards, and ensures infrastructure security.

Designed and implemented the company DWH from scratch, set up data pipelines for multiple data sources, and built backend/API services for ML/LLM. Worked on LLM fine-tuning (LoRA/QLoRA) and implemented BI analytics in Tableau, also participating in hiring and onboarding analysts.

Developed data pipelines, data marts, and BI dashboards in Qlik Sense, and performed ad-hoc marketing analytics. Created an ML/AI system for advertising channel effectiveness and used macroeconomic data and ML models to optimize advertising budgets.

Searched for and described data sources, set up ETL integrations between data sources and the data lake, and worked with big data infrastructure.

Designed DWH architecture for analysts and deployed Qlik Sense dashboards, including creation of OLAP cubes and data marts. Implemented ML projects for price forecasting and churn prediction and participated in building the data science function.

Organized an analytics department from scratch, built processes, and managed the team. Developed fraud detection algorithms.

Developed data marts and ETL processes and worked with Vertica, Oracle, and MS SQL. Delivered reporting in Tableau and SAP BO.

Analyzed customer business requirements and developed data marts and reporting. Performed ETL development and server administration.

Developed DWH solutions and reporting.

Developed a GUI in C# and built stored procedures and tables in MS SQL Server, including reports and ad-hoc analytics.

Earned a Master's degree in Computer Science at Peter the Great St. Petersburg Polytechnic University from 2011 to 2013.

Earned a Bachelor's degree in Computer Science at Peter the Great St. Petersburg Polytechnic University from 2007 to 2011.