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Data Analyst with 1+ years in Data Analysis & Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Junior Data Analyst with a Master's degree in History transitioning into data science. Experienced in collecting, cleaning, transforming, and modeling raw data to build impactful dashboards and visualizations. Proficient in Python and SQL for data ingestion, transformation, and automation across various projects. Proven ability to work in agile environments, collaborate with cross-functional teams, and leverage data for strategic decision-making and operational improvements. Passionate about data quantification for process improvements and business performance metrics.
PUC-Rio
Graduate Certificate · Data Science & Analytics
August 1, 2025 – Present
DataGirls
(Re)Start Data Analysis Bootcamp · Data Analysis
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University of Brasília (UnB)
Master's Degree · History
January 1, 2016 – December 31, 2018
University of Brasília (UnB)
Undergraduate Degree · History
January 1, 2009 – December 31, 2014
Caju Code
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India
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India
Ceol
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Department of Education
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Brasília, Federal District, Brazil
Cultural Fit Analysis
The candidate's diverse background, including history education and roles in education, radiology, and energy, indicates adaptability and a broad perspective. Their ongoing education in Data Science and participation in a bootcamp show a strong initiative for career transition and continuous learning. The interest in geospatial mapping and cross-cultural environments suggests intellectual curiosity and openness, which can contribute positively to team diversity and innovation. However, the direct experience in a dedicated data analyst role is relatively short, which might require some cultural adjustment to a purely data-focused team.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through process optimization and automation in previous roles. Their experience in teaching and documentation suggests good communication and organizational abilities. The agile methodology experience indicates a collaborative work attitude. The candidate's interest in data-driven personal projects and continuous learning aligns well with a dynamic operational environment.