Kermen Кhulkhachieva

Built analytical dashboards and KPI frameworks for Web3 projects using transactional and operational data. Conducted exploratory on-chain analysis and built tracking dashboards for grant projects.

Developed automated ETL pipelines for processing large-scale on-chain datasets and built dashboards for key operational metrics. Implemented monitoring improvements to address data quality gaps and supported operational decision-making with large-scale asset movement analysis.

Transitioned from finance to data analytics with a focus on Python, SQL, and data pipeline development. Built foundational knowledge in data modeling, automation, and structured analysis of financial datasets.

Improved financial reporting processes through better data structuring and analysis. Conducted variance analysis, investigated discrepancies in financial records, and supported monthly reporting cycles with improved accuracy and consistency.

Relocated to Milan and completed intensive Italian language immersion while adapting to the new regulatory and business environment.

Performed bank reconciliations and maintained financial records across AR/AP processes while ensuring compliance with internal financial controls and reporting standards. Set up cost-allocation models and analyzed monthly sales data to improve capital efficiency.

Managed cash flow forecasting and liquidity planning, and prepared financial statements. Supported internal audit processes and maintained accuracy of financial reporting and ledger integrity.

Completed Italian language studies for foreigners at Instituto Dante Alighieri (Oct 2017–Jul 2018).

Earned the IBM Data Analyst Professional Certificate through Coursera (Feb–May 2022).

Completed training focused on data analytics using BigQuery and Looker Studio.

Completed a specialist degree in economics at the Russian State University of Tourism and Service (Sep 2001–Jun 2006).