Financial & Data Analyst | Econometrics, Financial Modeling, Accounting & Decision Support

Supported the business owner in analysing financial, inventory, and operational processes within a retail environment. Worked with transaction records, inventory data, reconciliations, cost and margin considerations, and operational controls to identify inconsistencies and opportunities for process improvement.

• Analysed sales, purchasing, cash, and inventory records to identify reconciliation and control issues.
• Reviewed inventory movements and operational adjustments to improve data consistency.
• Supported stock reconciliation, cash monitoring, transaction documentation, and periodic financial analysis.
• Evaluated business processes and recommended more structured digital accounting, inventory, and reporting workflows.
• Translated financial and operational information into practical recommendations for business decision-making.

Supported daily accounting and operational activities, including transaction recording, reconciliation, inventory control, and financial documentation.

• Recorded and organised sales, purchases, cash receipts, cash payments, and other business transactions.
• Maintained accounting records and supported ledger and periodic financial reporting activities.
• Performed stock reconciliation between physical inventory and transaction records.
• Identified discrepancies in transaction and inventory data and supported corrective follow-up.
• Maintained accurate and structured records to support day-to-day business operations.

Conduct quantitative and empirical research across finance, economics, accounting, capital markets, banking, monetary policy, digital finance, labour economics, and sustainability using financial, macroeconomic, firm-level, regional, cross-country, and survey datasets.

• Design research from problem identification and economic theory through hypothesis development, variable construction, econometric estimation, robustness testing, interpretation, and decision or policy implications.
• Build, clean, merge, validate, and document large multi-source datasets for reproducible statistical analysis.
• Apply econometric and statistical methods including panel-data models, fixed effects, time-series analysis, Local Projections, ARDL/NARDL, structural-break tests, bootstrap inference, mediation analysis, multiple-testing correction, and robustness diagnostics.
• Use Stata, Python, Excel, EViews, and LSEG Workspace for data preparation, modelling, validation, and research outputs.
• Produce research manuscripts, analytical tables, visualisations, technical documentation, and presentation-ready findings.
• Collaborate on academic research with university researchers and contribute to published, accepted, submitted, and ongoing empirical studies.

Undergraduate studies focused on accounting, financial analysis, management, economics, quantitative research, and data-driven decision making.

Key areas include:
• Financial Accounting
• Cost & Management Accounting
• Corporate Finance and Financial Analysis
• Financial Modeling and Valuation
• Economics and Econometrics
• Statistical and Quantitative Research
• Business and Management Analysis

Developed empirical research projects using financial, macroeconomic, firm-level, regional, international, and survey datasets, with emphasis on data cleaning, validation, econometric modelling, robustness testing, interpretation, and research documentation.

Built financial and accounting projects including integrated Excel financial models, forecasting, DCF valuation, scenario and sensitivity analysis, and CostFlow, a cost and management accounting decision-support platform.

Represented the university in ERP/MonsoonSIM business simulation competitions and achieved 3rd place in the 2nd UNP National MonsoonSIM Competition 2024 (Enterprise Sector) and 3rd Winner at EPIC International 2025.

GPA: 3.70/4.00