Turning consumer intelligence into business decisions.

Owned the full lifecycle of production-grade dashboards used by enterprise brand clients of one of the region's leading consumer intelligence companies. Translated raw research data and architecture documents into interactive tools for executive decision-makers, covering data modeling, KPI design, visual logic, and shipping to production.

8+

Power BI dashboards in production

2

React dashboards architected end to end

• Built and maintained production Power BI dashboards used daily by enterprise brand clients across multiple retail categories. Owned data modeling, DAX measures, visual design, and performance optimization.
• Architected and shipped 2 production React dashboards as product owner, directing AI-assisted implementation through to enterprise-quality release. Defined requirements, structured data flow, designed UX, and acted as the quality gate.
• Translated multi-stage market research projects into dashboards that made complex consumer intelligence accessible to non-technical decision-makers.
• Iterated on existing dashboards by shipping new features, improving UX, and resolving data issues based on direct client feedback loops.

• Power BI
• DAX
• Data modeling
• KPI design
• Python
• React (AI-assisted)
• Excel · Power Query
• Client-ready BI

Climate risk and financial modeling work supporting corporate decision-making on the energy transition. Built scenario-based analyses across multiple sectors using historical emissions data, financial disclosures, and academic research.

8

Sectors assessed for climate risk

15+

Data sources integrated

9

Climate risk pathways simulated

• Executed comprehensive climate risk assessments across 8 sectors, integrating data from 15+ sources including financial disclosures and academic research to identify physical and transition risk drivers.
• Built scenario-based financial models in Python integrating 9 years of historical emissions and financial data to project carbon cost exposure across long-horizon scenarios.
• Quantified agricultural sector vulnerabilities to surface concentrated risk pockets within the broader transition.
• Simulated 9 climate risk pathways comparing Net Zero against business-as-usual baselines, producing actionable recommendations for corporate decision-makers.

• Python
• Financial modeling
• Climate risk analysis
• Data integration
• Scenario analysis