Open to opportunities

Raphaela Nawa

@raphaelanawa1

I turn research, survey, and performance data into actionable recommendations for technology and financial-sector teams.

Brazil

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What I'm looking for

I'm looking to apply data analysis, research, and machine learning skills to product, growth, or operational challenges, especially in AI, ML, MLOps, GIS, and integrations.

At NomadeLabs, I design surveys on remote-work culture for tech startups, build Looker Studio RevOps dashboards for SaaS clients, and analyze WhatsApp conversations and digital campaigns using Python and SQL.

Previously at Mastercard, I delivered more than 70 analysis reports in Portuguese, Spanish, and English for C-level leaders across automotive and financial sectors. I also co-developed a customer-segmentation propensity model for a neobank, supporting feature engineering and model validation in a compliance-sensitive environment.

My research background includes analyzing 487 anti-retaliation cases across 37 countries at the International Bar Association and surveying more than 400 participants on whistleblowing drivers at Fundação Getúlio Vargas.

I also lead a technical community of 70+ software engineers for an AI/MCP course, creating coding exercises, reviewing code, and supporting the curriculum.

Experience

Work history, roles, and key accomplishments

Current

Consultant - Data & Research Analyst

Current

NomadeLabs

May 2023 - Present (3 years 3 months)

Designed and analyzed a 20+ variable survey on remote work culture for tech startups; delivered executive presentations with data-driven recommendations. Built RevOps performance dashboards in Looker Studio for SaaS clients, tracking lead conversions, trial funnels, and sales team KPIs.

Survey Design Data Analysis Looker Python SQL Community Management Code Review Curriculum Development

Consultant/Data Analyst

Mastercard

Feb 2021 - May 2023 (2 years 3 months)

Delivered 70+ data analysis reports in Portuguese, Spanish, and English to C-level executives across automotive and financial sectors. Co-developed propensity model for customer segmentation at neobank; supported feature engineering and model validation in compliance-sensitive environment.

Data Analysis Reporting Feature Engineering Model Validation Compliance Customer Segmentation

Legal Intern at the Legal Policy and Research Unit

International Bar Association

Apr 2020 - Jul 2020 (3 months)

Conducted intricate data analysis of 487 anti-retaliation cases across 37 countries, uncovering insightful trends in gender dynamics of whistleblowing trials. Selected as International Program Fellow by the Global Accountability Project (GAP) and recipient of the IBA Educational Trust Scholarship Fund.

Data Analysis Legal Research Whistleblowing

Research Assistant

Fundação Getúlio Vargas

Oct 2018 - Jan 2020 (1 year 3 months)

Designed and conducted survey on whistleblowing drivers in public administration; collected and analyzed data from 400+ participants. Benchmarked internal reporting mechanisms of 20 State-Owned Enterprises.

Survey Design Data Collection Data Analysis Benchmarking