Milad Samieifar
Quantitative Finance Graduate | Data Analytics & Financial Modelling Finance graduate with hands-on experience in Python-driven financial modelling, Power BI reporting, and risk analytics, targeting roles in quantitative research and investment analysis.
Talento
PadovaMembro dal 5 maggio 2026
PythonPower BIMATLAB
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Esperienza
Related Course Projects at Università degli Studi di Padova (2024-09 – Present)
- Analyzed financial statements and key ratios of Leonardo S.p.A. for the Financial Reporting & Business Valuation course; evaluated company performance and industry benchmarks.
- Built interactive Excel Power Query and Power BI dashboards for practical data analytics in Business Analytics for Accounting & Financial Data.
- Applied Python programming for financial modeling and risk analysis in Quantitative Risk Management; completed coding-based exam assessments.
- Applied MATLAB programming for portfolio assessment and allocation in Computational Finance & Asset Management.
Financial accountant at Tonal Music Academy (2020-06 – 2024-08)
- Managed daily financial operations, including payroll, income/expenditure tracking, and the preparation of balance sheets and financial statements for accurate reporting.
Formazione
Master of Applied Economics in Data Analytics – Università degli Studi di Padova (2024-09 – 2026-07)
Bachelor of Science in Economics – Tabriz University (2019-09 – 2023-07)
Competenze
Quantitative Finance GraduatePower BI reportingand risk analytics
