50+ DWH, BI, ML projects. Examples:1. Building DWH + BI for FMCG (Top 3 in Russia).Stack: DWH - MS SQL on-premises, ETL - Python, SSIS, BI - Power BI.30+ data sources (internal and external).FTE: 12 in-house + 6 external.2.Sentiment Analysis for Airlines (English project). Analysis of unstructured customer review data, assessing the impact on NPS.Stack: Microsoft Power Automate, Microsoft Dataverse, Power BI, Azure AI, Chat GPT.FTE: 15.3. 1000+ secure external accesses to Dashboards for a bank (English project). Analytical portal for a bank with restricted data access.Stack: Power BI, React, Node JS, Keycloak, Azure Databricks, Microsoft Fabric.FTE: 20.4. RPA for FMCG. Automation of the business process for processing online orders.Stack: Python, MS SQL Server.FTE: 5.5. Lead prediction for real estate (MVP) using ML.Stack: Python.6. SKU matching for FMCG (Top 10 in Russia).Stack: Python, Chat GPT.

1. Building DWH based on MS SQL Server, with 15+ data sources.ETL: SSIS, custom connectors (1C).2. Implementing end-to-end analytics for marketing.FTE: 10 in-house, 5 external.3. Building BI for call center, sales, marketing, assessment, and finance.4. Developing internal IT systems and integrations between them.5. Formulating the company's data development strategy.

1. Building DWH based on MS SQL Server, with 30+ data sources.ETL: SSIS, custom connectors (ERP)2. Creating a unified DWH for a group of companies.3. Implementing master data systems.4. Developing BI for sales, finance, analytics, and logistics.5. Implementing an IBP (Integrated Business Planning) system.6. Enhancing internal IT systems

1. Development of ERP 2. Preparation of management reports.