Financial Data Analysis & Quantitative Portfolio Analytics

I specialize in financial data analysis, data preprocessing, portfolio construction, and portfolio monitoring. My work is analytical, quantitative, and academically grounded, designed to support decision-making through transparent and reproducible workflows.

Data preprocessing Time-series analysis Portfolio construction Rebalancing analytics Risk measurement (VaR, drawdowns) Performance benchmarking Python (Pandas, NumPy) Visualization & reporting

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Important notice: I do not provide regulated investment advice. All services are analytical, educational, and decision-support oriented.

What I Do

I transform market and portfolio data into structured insights using rigorous quantitative methods. Deliverables typically include clean datasets, analytical reports, risk and performance diagnostics, and reproducible Python workflows.

Cleaning, validation, and structuring of financial datasets
Returns, volatility, correlations, and regime-aware diagnostics
Portfolio allocation analysis and diversification assessment
Rebalancing logic and monitoring metrics

Who This Is For

My services are designed for clients and collaborators who value clarity, documentation, and evidence-based conclusions.

Individuals seeking portfolio analysis and rebalancing insights
Students and researchers working with financial data
Small firms and finance-oriented projects requiring quantitative support

Working Principles

Transparency Clear assumptions, explicit limitations, and readable outputs.

Reproducibility Documented steps and workflows that can be audited and repeated.

Analytical Rigor Methods grounded in statistics, finance theory, and empirical diagnostics.

Decision-Support Outputs designed to inform decisions without providing regulated advice.