Master’s in Business Administration and Bachelor’s in Economics graduate with a proven ability to deliver impactful, data-driven solutions. Experienced in financial analysis, valuation, forecasting, and process optimization through real-world projects across diverse industries. Skilled in Python, SQL, R, Tableau, and Excel, with a track record of transforming complex datasets into clear insights that support strategic decision-making.
M.Sc. in Business Administration (2022–2025) – GPA 2.1/1.0 Diploma Transcript
Coursework: Corporate Finance, Corporate Valuation and Financial Modelling, IFRS, Applied Econometrics, Strategic Management & Marketing.
Master Thesis: "How AI Learns from Social Media Data to Influence Consumer Behavior"
Bachelor in Economics (2017–2021) – Diploma with Honors – GPA 4.5/5.0 Diploma Transcript
Coursework: Time-Series Analysis, Econometrics, World Economy, Finance and Credit, Accounting.
Bachelor Thesis: "Predictability of American Companies’ Shares Expected Profit"
Independent Finance & Valuation Project | View on GitHub | Excel file | Final Report
• Built a full 3-statement financial model for Schlumberger (SLB), including Income Statement, Balance Sheet, and Cash Flow forecasts for FY2025–FY2029.
• Conducted a Discounted Cash Flow (DCF) analysis using scenario-based assumptions, unlevered free cash flow modeling, and terminal value via the perpetuity growth method.
• Estimated Weighted Average Cost of Capital (WACC) using CAPM with scenario sensitivity to capital structure, beta, and macro inputs.
• Developed a Comparable Company Analysis (Comps Model) using peer benchmarking (EV/Revenue, EV/EBITDA, P/E) across Halliburton, Baker Hughes, Weatherford, Tenaris, and NOV.
• Visualized key drivers through dynamic charts: EBITDA bridge, working capital trends, UFCF forecasts, and valuation sensitivity tables (WACC vs. g).
• Delivered a 14-page investment report with Harvard-style sourcing, scenario analysis, valuation triangulation, and a final Buy recommendation.
Independent Finance & Valuation Project | View on GitHub | Excel file | Final Report
• Built a fully integrated 3-statement financial model (Income Statement, Balance Sheet, Cash Flow) from 2022–2029 using audited financial reports from Saudi Aramco.
• Conducted a detailed Discounted Cash Flow (DCF) analysis, including terminal value calculation (perpetuity growth method), scenario testing (Optimistic, Base, Conservative), and WACC estimation from scratch using market-based inputs.
• Designed a full Comparable Companies Analysis (Comps Model) using valuation multiples (EV/EBITDA, EV/Revenue, P/E) across 8 global integrated oil majors (e.g., ExxonMobil, Shell, CNPC, Petrobras).
• Performed sensitivity analysis on terminal growth and WACC; visualized impact on enterprise value and equity per share.
• Created a professional-grade final valuation report (17 pages) with macroeconomic context, modeling logic, charts, valuation tables, and recommendations supported by Harvard-style citations.
R, Shiny, ETS, ARIMA, ggplot2, tseries, forecast | View on GitHub | Final Report
• Developed a full-cycle time series forecasting project using R to analyze and project WTI crude oil prices and U.S. crude oil production volumes.
• Applied and compared ETS and ARIMA models, achieving strong in-sample accuracy (MAPE ~1.85% for prices; ~1.9% for production).
• Conducted stationarity testing, STL decomposition, ACF/PACF diagnostics, and rolling volatility analysis to assess structural behavior of the time series.
• Built an interactive Shiny dashboard to visualize forecasts and historical trends, allowing dynamic scenario exploration.
• Performed correlation and lag analysis, revealing a statistically significant but moderate relationship between price and production behavior.
• Produced a comprehensive, portfolio-ready report demonstrating practical forecasting applications in the oil & gas domain.
DCF & Multiples Valuation | View on GitHub | Excel file (DCF) | Excel file (Multiples) | Final Report
• Built a full 3-statement financial forecast and performed Discounted Cash Flow (DCF) and Multiples valuation of Emaar Properties PJSC.
• Conducted peer benchmarking, scenario analysis (optimistic, base, worst), and delivered an investor-ready valuation report.
Corporate Budgeting & Forecasting | View on GitHub | Excel file | Final Report
• Developed a complete budgeting, forecasting, and cash flow management model for a fictional property flipping startup.
• Built revenue and cost models, break-even analysis, CapEx and working capital plans, KPI dashboards (burn rate, runway, ROI), and prepared an investor-grade report
Scoring Model & Report | View on GitHub | Excel file | Final Report
• Conducted full credit risk evaluation across Emaar, SABIC, STC, Emirates NBD, and Ooredoo.
• Built a financial ratio-based scoring model and qualitative assessment framework to produce internal risk ratings.
• Analyzed liquidity, leverage, profitability, efficiency, and macro-sector exposures for each company.
• Developed strategic lending recommendations and risk mitigation structures tailored to each corporate entity.
• Produced a professional report replicating real-world credit analyst work for investment and lending decisions.
Machine Learning (LogReg & Random Forest) | View on GitHub | Final Report
• Built an automated credit scoring model using real consumer lending data to predict Probability of Default.
• Applied data cleaning, feature engineering, and class imbalance handling.
• Trained and evaluated Logistic Regression and Random Forest models; achieved strong AUC-ROC scores.
• Segmented applicants into five risk bands (A-E) enabling data-driven lending decisions.
• Delivered full visual report with interpreted charts and business risk strategy recommendations.
Private Equity Acquisition Model & Report | View on GitHub | Excel file | Final Report
• Built a full private equity acquisition model for an 80% stake in a Dubai-based real estate services firm.
• Forecasted 5-year financial performance (Revenue, EBITDA, Net Income) and exit valuation under multiple scenarios.
• Calculated base-case IRR of 15.5% and MOIC of 2.05x through dynamic cash flow and exit modeling.
• Conducted sensitivity analysis to assess impact of exit multiples on projected returns.
• Delivered an investment report, Excel valuation model, and 1-page visual executive summary.
Business Analysis & Tableau | View on GitHub | Final Report | Presentation
• Conducted full-cycle data cleaning, exploratory data analysis (EDA), and KPI assessment on sales, customer, and inventory data using Python,Excel, and Tableau.
• Identified profit leaks, loss-making sub-categories, and regional performance disparities across retail operations (~$2.3M in gross revenue analyzed).
• Built an interactive Tableau dashboard enabling dynamic filtering by region, product, and discount rates for executive decision-making.
• Delivered data-driven recommendations to optimize pricing strategies, promote top-seller categories and identify cap discounts.
• Prepared a complete Business Report and Analytical Summary for stakeholder presentation.
Business Analysis & draw.io | View on GitHub | Final Report | Presentation
• Led a business process improvement project for a simulated telecom company to optimize customer support ticket handling, targeting a 40% reduction in resolution time and 50% decrease in escalations.
• Conducted stakeholder analysis, mapped AS-IS and TO-BE workflows using draw.io, and prepared a Business Report with functional and non-functional specifications.
• Designed KPI framework tracking resolution time, Customer Satisfaction (CSAT), Service-Level Agreement (SLA) compliance, and ticket routing accuracy.
• Delivered a comprehensive solution recommendation including smart ticket triage, SLA automation, chatbot handling of tier-1 issues, and dashboard reporting.
• Prepared executive-style documentation and presentation showcasing business impact.
Python, SQL & Tableau | View on GitHub | Code Explanation Report | Tableau part
• Gathered and preprocessed Data from World Bank API using Python.
• Performed an in-depth analysis of World Bank data to explore economic, demographic, and sustainability trends across various countries and regions.
• Created Entity-Relationship Diagram (ERD) to illustrate relationships between the tables.
📍 Ashgabat, Turkmenistan
📱 +993 65 632757
Want the Russian or German version? Use the links at the top ↑