CV
Vanessa Martins Pinto
Experimentation & Statistical Analyst | Statistical Experimentation, Causal Inference, Python, R & SQL
Professional Summary
Statistics graduate from the Federal University of Paraná with experience in quantitative analysis,
statistical experimentation, market intelligence and applied decision analysis. Her work structures, validates
and interprets datasets to test hypotheses, measure impact, identify patterns and turn quantitative evidence
into clear recommendations.
Her work includes A/B testing, multivariate testing, experimental design, causal inference, significance
analysis, confidence intervals, uplift analysis, power analysis, sample size calculation, Bayesian testing,
sequential testing and multiple testing correction. She uses Python, R, SQL, Power BI, Excel and AWS for
analysis, automation, visualization and communication of results.
Key Competencies
- Statistical Experimentation
- A/B Testing
- Multivariate Testing
- Experimental Design
- Causal Inference
- Power Analysis
- Sample Size Calculation
- Treatment and Control Groups
- Uplift Analysis
- Bayesian Testing
- Sequential Testing
- Statistical Significance
- Confidence Intervals
- Multiple Testing Correction
- Quantitative Research
- Market Intelligence
- Statistical Analysis
- Python
- R
- SQL
- Power BI
- Excel
- AWS
- Machine Learning
- NLP
Experience
Chameleon Tecnologia
Data Analyst and Market Research Analyst | Remote | Feb. 2023 - present
- Design and analysis of statistical experiments, including A/B tests, multivariate tests, hypotheses, metrics and treatment/control groups.
- Application of causal inference, significance analysis, confidence intervals, uplift analysis, power analysis and sample size calculation to support quantitative decisions.
- Use of Bayesian testing, sequential testing and multiple testing correction in experimentation and statistical validation contexts.
- Quantitative analysis and market intelligence projects supporting strategic decisions for technology-sector clients.
- Data structuring, validation and interpretation to identify patterns, trends and decision opportunities.
- Reports, dashboards and executive presentations focused on quantitative evidence, measurable impact and clear recommendations.
- Use of Python, R, SQL, Power BI, Excel and AWS for data treatment, automation, analysis and visualization.
Chameleon Tecnologia
Data Analysis Intern | On-site | Jun. 2022 - Feb. 2023
- Supported data collection, organization, treatment and analysis in quantitative projects.
- Prepared analytical reports, visualizations and result summaries for clients and internal teams.
- Validated datasets and supported the structure of quantitative deliverables.
ISATEC
IT Support and Infrastructure Analyst | Part-time | Mar. 2013 - Feb. 2018
- Technical support for users, systems and internal infrastructure, focused on diagnosis, documentation, organization and structured problem resolution.
Education
Federal University of Goiás - UFG
Postgraduate Program in Natural Language Processing | In progress, expected completion Sep. 2026
NLP, Python, Machine Learning, Deep Learning, Large Language Models, Prompt Engineering, APIs and applied project work.
Federal University of Paraná - UFPR
Bachelor's Degree in Statistics | 2018 - 2023
Applied statistics, probability, statistical modeling, data analysis, quantitative methods, research, programming and data interpretation.
Federal University of Technology - Paraná - UTFPR
Computer Engineering | 2013 - 2017, interrupted
Interrupted in the 7th semester to transition into Statistics. Foundation in algorithms, data structures, advanced calculus and computing fundamentals.
Languages
- Portuguese - native
- English - full professional proficiency
- Spanish - limited professional proficiency
- French - basic