Data Analyst at the Intersection of Business Analytics & International Affairs
R • Python • SQL • Tableau

I use data to answer critical questions—whether for corporate strategy or global policy: Where should we allocate resources? Are we meeting our targets? What drives performance? Who's being left behind?

Currently: Dual graduate student combining business analytics (Georgetown MSBA 26') with international affairs (Seton Hall MA '27). Building a portfolio that demonstrates how data analytics drives better decisions across corporate strategy, humanitarian response, ESG investing, and global policy.

Business Problem: Digital advertising budgets are wasted on audiences unlikely to engage on LinkedIn.

Solution: Predictive model using demographic data to identify high-probability LinkedIn users, enabling precise audience targeting.

Business Impact:

• 30-40% reduction in wasted ad spend through demographic pre-filtering
• Improved conversion rates via data-driven audience segmentation
• ROI optimization for B2B marketing campaigns

Skills: Logistic Regression • Feature Engineering • Interactive Web Apps • Marketing Analytics

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Business Problem: Asset managers and corporate boards need quantifiable ESG metrics to assess climate finance commitments.

Analysis: Multi-country regression analysis examining relationship between emissions output and climate finance contributions across major economies.

Key Finding: Emissions explain only 40% of climate finance (R²=0.403), revealing systematic gaps:

• South Korea: Rank 3 emitter, Rank 12 funder ($1.54/ton CO₂)
• France: Rank 9 emitter, Rank 3 funder ($27.26/ton CO₂)
• USA: #1 emitter, only $2.34/ton (14× less efficient than Norway)

Business Applications:

• ESG Investment Screening - Identify portfolio companies with weak climate commitments
• Regulatory Compliance - Track corporate alignment with TCFD, CDP standards
• Risk Assessment - Quantify climate transition risk across holdings
• Benchmarking - Compare corporate ESG performance against industry peers

Skills: Regression Analysis • ESG Metrics • Data Visualization • Regulatory Reporting

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Business Problem: Organizations with limited budgets need data-driven frameworks to identify where funding is misaligned with need.

Analysis: Cross-sectional analysis of resource allocation efficiency by comparing funding flows against quantifiable impact metrics.

Key Finding: Systematic funding gaps emerge when attention is concentrated—some high-need areas receive 80% less funding than expected based on impact severity.

Business Applications:

• Foundation Grant Strategy - Optimize philanthropic portfolio allocation
• CSR Program Design - Identify underserved stakeholder groups
• Budget Optimization - Quantify ROI across program areas
• Market Gap Analysis - Find underserved customer segments

Skills: Portfolio Optimization • Gap Analysis • Statistical Modeling • Executive Dashboards

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Business Problem: Companies need to forecast whether they'll meet 2030 emissions reduction targets to avoid regulatory penalties and reputational risk.

Analysis: Time-series trend analysis comparing actual emissions trajectories against committed targets for major economies.

Key Finding: 4 of 5 countries off track—some need to cut emissions 2.7× faster to meet 2030 commitments.

Business Applications:

• Corporate Sustainability Planning - Project whether current trajectory meets Paris-aligned targets
• Scenario Analysis - Model required acceleration to meet net-zero commitments
• Supply Chain Risk - Identify high-risk suppliers in carbon-intensive sectors
• Investor Relations - Communicate credible decarbonization roadmaps

Skills: Time Series Analysis • Forecasting • Scenario Modeling • Trend Analysis • KPI Tracking

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Programming & Analysis:

• Languages: Python • R • SQL
• Analytics: Regression • Classification • Time Series • Clustering • Predictive Modeling
• Visualization: ggplot2 • Plotly • Streamlit • Tableau • Interactive Dashboards

Business Domains:

• Marketing Analytics - Customer segmentation, targeting optimization, campaign ROI
• Financial Analysis - Performance forecasting, portfolio analysis, risk assessment
• ESG & Sustainability - Climate risk, regulatory compliance, impact measurement
• International Development - Resource allocation, humanitarian response, policy effectiveness
• Strategic Planning - Portfolio optimization, gap analysis, scenario modeling

Key Data Sources:

• Business: Kaggle, Bloomberg, Yahoo Finance, SEC filings
• ESG/Climate: Climate Watch, OECD, Our World in Data, UNFCCC
• Social Impact: World Bank, UNICEF, UNESCO, WHO
• Market Research: Pew Research, Census Bureau, industry reports

I bring analytical rigor from business to problems in international affairs and ESG.

What makes my work different:

• Cross-sector fluency - Translate between corporate KPIs and policy metrics
• Quantitative rigor - Statistical modeling, forecasting, hypothesis testing on messy real-world data
• Impact focus - Whether analyzing marketing ROI or humanitarian funding, I measure what matters
• Reproducible methods - Transparent code, clear documentation, defendable results

Technical foundation (Georgetown MSBA '26) + Policy context (Seton Hall MA International Affairs '26) = professionals who can bridge data analytics with diplomatic judgment.

Master of Science in Business Analytics | Georgetown University
McDonough School of Business | Expected December 2026
Merit Scholarship Recipient, Class Representative

Master of Arts in International Affairs | Seton Hall University
School of Diplomacy and International Relations | Expected May 2026
Dean's Graduate Scholarship & Graduate Merit Scholarship Recipient

Dual Degree Focus: Building expertise at the intersection of quantitative analytics and international policy—combining technical skills (Python, R, SQL, machine learning) with global context (development finance, humanitarian response, climate policy).

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