Євгенія

EVHENIYA DANYLOVA
Financial Data Analyst | PhD in Economics
Cherkasy, Ukraine | [відкрити контакти](див. вище в блоці «контактна інформація») | Telegram: @yevheniiadanylova | [відкрити контакти](див. вище в блоці «контактна інформація»)

PROFILE
Dynamic Financial Analyst with 10+ years of experience, driving substantial financial insights and strategic decision-making across diverse
sectors. Expertise encompasses advanced financial modeling, predictive analytics, and economic forecasting, empowering organizations to enhance
profitability and optimize investments. Proficient in managing extensive datasets and utilizing sophisticated analytical tools, translating complex
data into actionable recommendations. A commitment to academic excellence is demonstrated through the authorship of multiple textbooks and
peer-reviewed articles, showcasing the ability to communicate intricate financial concepts clearly. Continuous pursuit of professional growth
ensures adaptability to the evolving landscape of finance and analytics.
TECHNICAL SKILLS
• Databases & Tools: PostgreSQL, Microsoft SQL Server, Google BigQuery, DBeaver, 1C:Enterprise (Konfigurator).
• MS Excel: Advanced Formulas, Pivot Tables & Charts, Power Query, Power Pivot, Dashboard Design.
• BI & Analytics: Power BI, Tableau, Looker Studio, Amplitude, GA4, Statistica.
• Programming: Python (Pandas, NumPy).
• Financial Analysis: Cash Flow Forecasting, P&L & Balance Sheet Analysis, Portfolio Valuation.
• Investment & Risk: NPV, IRR, Payback Period (PP, DPP), Monte Carlo Simulation, Scenario & Sensitivity Analysis.
• Data & Statistics: Large Dataset Manipulation (100K+ rows), Data Cleansing, Time-Series & Regression Analysis.

PROFESSIONAL EXPERIENCE
Consolidated Information Analyst, Analytical Department, Collect Center, Kyiv Mar 2026 — Jul 2026
• Developed and maintained configurable 5-year cash flow forecasting models supporting investment decision- making and portfolio valuation
for distressed debt portfolios.
• Designed and optimized complex analytical SQL queries in BigQuery for processing large-scale financial datasets used in investment
analysis and forecasting.
• Performed analytical portfolio segmentation using DPD buckets, regional distribution, recovery metrics, and historical performance indicators
to support investment evaluation.
• Validated portfolio valuation assumptions by comparing forecasting models with historical portfolio performance to improve investment
decision accuracy.
• Collaborated with senior analysts and portfolio managers to refine forecasting methodologies and improve analytical reporting quality.
Financial Specialist, Sharkscode, Kyiv Dec 2025 — Feb 2026
• Processed bank statements to generate financial results and streamlined Cash Flow reports, improving overall visibility of company funds.
• Managed daily balance reconciliations across multiple corporate accounts and consolidated the final monthly Cash Flow report.
• Participated in plan-fact variance analysis to track budget execution, spot discrepancies, and identify cost-saving opportunities.
Accountant with an Economist’s Focus, Department of culture, youth and sports, Irkliiv Aug 2024 — Oct 2025
• Oversaw the full accounting cycle (excluding payroll and financial reporting).
• Configured the Debit+ accounting system, achieving 80% automation of analytical and synthetic accounting compared to 30% previously.
• Introduced enhanced analytical accounting to generate detailed, object-specific reports (e.g., granular expenditure breakdowns for rural clubs
and libraries). This improved budget planning accuracy by 15% and reduced budget request processing time by 25%.
Freelance / Independent Consulting, Freelance, Kharkiv Sep 2016 — Jun 2024
• Provided freelance financial consulting services, including economic-mathematical modeling, forecasting, expert valuation, and in-depth
financial analysis for various clients.
• Offered academic consulting and research support to PhD candidates on dissertation writing, scientific publications, and advanced economic-
mathematical modeling, financial analysis in economics.
Engaged in continuous professional development and self-study in data analytics, maintaining proficiency in key analytical methodologies.

Financial Analyst, Senior Lecturer, National Agrarian University
named after V.V. Dokuchaev, Kharkiv Jan 2012 - Aug 2016
• Applied Monte Carlo simulation models in Excel to assess the ROI of a technology investment, forecasting NPV, IRR, and payback periods
across 3 scenarios to guide capital budgeting decisions.
• Contributed to the development of a predictive bankruptcy model using 10+ scoring methodologies and discriminant analysis; the model was
successfully adopted by 3 at-risk enterprises to guide financial recovery and turnaround strategies.
• Analyzed 10 years of financial and operational data for a portfolio of 600+ enterprises (20K+ data rows), performing rigorous cleansing and
validation to ensure 100% data integrity for modeling.
• Constructed multifactor non-linear regression models that identified key cost drivers in crop production, leading to the adoption of its cost-
optimization findings by a regional government agency for economic forecasting.
• Conducted a 5-year financial statement analysis for a portfolio of agricultural firms, identifying performance deviations from key economic
principles and delivering actionable recommendations to improve profitability.
• Authored 6 textbooks/manuals on finance and taxation, including one endorsed by the Ministry of Education and Science, and published 25+
peer-reviewed articles on financial analysis and economic modeling.
EDUCATION
Excel advanced: поглибленi інструменти, DATAbi Apr 2026 – May 2026
Power Query (ETL, M language), Power Pivot (Data Modeling, DAX), Dynamic Arrays, Solver (Optimization),
Forecasting, Interactive Dashboards, Power Map
Excel: Бізнес-аналіз та прогнозування, DATAbi Jan 2026 – Feb 2026
Data modeling (star schema, facts & dimensions), Power Pivot, DAX formulas, advanced Pivot Tables,
external data sources, KPI dashboards
Data Analyst Professional Course, GoIT May 2025 – Nov 2025
Google Sheets, SQL, Python (Pandas, NumPy), Tableau, Power BI, Advanced Statistics, A/B testing.
PhD in Economics Dec 2008 — Dec 2011
Kharkiv National Agrarian University named after V.V. Dokuchaev, Kharkiv
Dissertation: Financial Rehabilitation of Agricultural Enterprises. Developed predictive models for assessing bankruptcy risk and implemented
them in real-world business environments.

ADDITIONAL INFORMATION
• Links: LinkedIn: [відкрити контакти](див. вище в блоці «контактна інформація»)
• Languages: Ukrainian, English (Intermediate, Professional Working Proficiency)