Applied Finance and Data Analyst

Мои компетенции и опыт

Engineering graduate (BSc Radio Engineering & Software Development, with honours, GPA 8.9 out of 10) with self-directed expertise at the intersection of finance, data, and business analysis. No direct commercial experience yet, but every project follows the full cycle — from a raw ask to a working tool — without handoff between roles.

Key projects:
— EconForecast — a financial forecasting tool for startups (NPV, IRR, ROI, Monte Carlo simulation with tax and inflation adjustments). Graduation project, defended with the top grade (10/10).
— LLM Support Chatbot QA System — full BA documentation (BRD, BPMN, Gherkin user stories across 4 stakeholders) plus an automated QA pipeline tested against 462 real banking queries. Found a 16.7% hallucination rate hidden under a "good enough" surface.
— E-Commerce Retention/RFM Analysis — diagnosed 96,478 orders: 3% retention against a 25-30% industry benchmark, quantified an 11x value gap between "champion" and "lost" customer segments.

Selected for B1 Belarus (formerly EY Belarus) Summer Business School through competitive screening — first direct exposure to due diligence and deal support. In parallel, independently founded and run a 100+-person community from scratch — no funding, no co-founder.

English — C1 (TOEFL-verified); German — B1. Tools: Python, SQL, Excel, Power BI.

Open to Financial Advisory / Transaction Services and Business Analyst / Data Analyst roles — remote.

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