Dmitry Volkov

Structured professional development period across AI/LLM engineering and advanced BI. Built a RAG knowledge-base system with citation checking and automated Power BI dashboard development with PBIP files and an AI coding assistant.

Built a human-in-the-loop n8n + AI-agent workflow that scored every closed deal's client conversations against a rubric agreed with the sales team. Defined shared KPI and success-metric definitions across marketing, sales and logistics and built the Power BI dashboards that leadership used in regular management reviews.

Built 4 Qlik dashboards on product quality and cost with automated period-over-period comparison. Halved cost-estimation variance with a new planned cost calculation model per product unit.

Analysed engineering throughput data: improved task estimation accuracy by 66% by optimising a forecasting model, and applied text analysis to task descriptions. Designed and ran A/B tests to evaluate a process change.

Developed and maintained Power BI dashboards tracking sales and marketing KPIs; drove 6% market share growth across Russia, CIS, Ukraine and the Baltics. Initiated and managed statistical analysis for 3 scientific studies; results presented at 5 medical conferences.

Completed Advanced Statistics certification.

Completed AI in Healthcare program. Developed a predictive model for ovarian cancer outcomes based on methylation status and gene expression.

Specialist Economist in Finance and Credit (5-year programme).

Student Data Analyst program. Completed 11 Python projects covering statistics, A/B testing, and machine learning.