Data & Quantitative Analyst focused on business intelligence, quantitative analysis, economics, financial modelling and AI-assisted analytical workflows.
I translate business and research questions into validated analytical outputs using structured data analysis, BI, quantitative methods, economics and AI-assisted workflows.
My portfolio emphasizes reproducibility, explicit assumptions, validation, evidence status and clear decision implications.
50,000 synthetic borrowers; probability-of-default modelling; 8 FICO buckets; public source code, tests and verification material.
GitHubDecision-led diagnostic workflow spanning data profiling, cleaning, KPI construction, revenue decomposition, anomaly detection and dashboard/report generation.
GitHub3,000-order portfolio workflow covering relational modelling, SQL KPI queries, segmentation and regional performance diagnosis.
Case study60-month historical/backtest window, 12-month holdout validation and scenario analysis for structured decision support.
Case studyDirectly observable in a primary artifact.
Can be regenerated from public methodology and data.
Supported by multiple independent sources or artifacts.
Not marketed as an established capability or outcome.
Economics-based quantitative reasoning supporting research design, forecasting, statistical interpretation and business decision analysis.
