While working as a research associate at a think‑tank, I was tasked with examining voter turnout shifts after a new electoral law.

Design a mixed‑methods study to identify causal factors and produce actionable insights for policymakers.

Developed a survey instrument, secured a representative sample of 1,200 voters, and complemented it with focus groups. Applied regression analysis to quantify effects and thematic coding for qualitative data. Coordinated a cross‑functional team to ensure data integrity and timeline adherence.

The study revealed a 12% turnout increase among young voters, leading to a policy brief that was cited in a parliamentary debate and influenced subsequent outreach programs.

During a comparative study of legislative debates across three countries, I needed trustworthy transcripts and voting records.

Validate source authenticity and ensure data accurately reflected legislative discourse.

Cross‑checked official parliamentary archives with independent databases, applied source triangulation, and documented provenance. Conducted inter‑coder reliability checks for qualitative coding, achieving a Cohen’s kappa of 0.82.

The validated dataset was accepted by peer reviewers, leading to publication in a reputable journal and informing a policy recommendation adopted by an NGO.

As a senior analyst at a public policy institute, I was asked to evaluate the impact of a proposed urban housing subsidy.

Produce a concise brief that presented evidence‑based recommendations to the city council.

Conducted cost‑benefit analysis using GIS data, surveyed affected households, and modeled long‑term fiscal impacts. Crafted a narrative that highlighted equity concerns and presented three policy alternatives with projected outcomes. Delivered the brief in a council hearing, fielding questions with supporting data visualizations.

The council adopted the second alternative, resulting in a 15% increase in affordable housing units within two years and positive media coverage highlighting the evidence‑based approach.

A state legislature introduced a new data‑privacy law affecting tech companies and consumers.

Design an assessment framework to identify potential unintended economic and social effects before implementation.

Developed a logic model linking law provisions to stakeholder actions. Conducted stakeholder interviews, built an econometric model to simulate market impacts, and set up a monitoring dashboard for key indicators (e.g., compliance costs, consumer complaints). Planned a post‑implementation review after six months.

The framework highlighted a likely increase in compliance costs for small firms, prompting legislators to add a tiered exemption clause, thereby mitigating adverse effects while preserving privacy goals.