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Presentation
I am a Brazilian student currently studying Pharmacy and Biochemistry and Data Science at USP. My academic background has developed strong analytical skills, attention to detail, and a high standard of accuracy when working with texts.
I provide English to Portuguese (Brazil) translation review and proofreading, with a focus on improving fluency, clarity, and naturalness. I carefully review translated content, highlight sections that do not sound natural to native speakers, and suggest clearer, more idiomatic alternatives while preserving the original meaning.
My services include:
Reviewing English → Portuguese translations
Highlighting unnatural or unclear passages
Suggesting improvements in tone and wording
Checking grammar, consistency, and readability
All reviews are done manually, with clear and structured feedback. I am organized, reliable, and committed to meeting deadlines.
If you are looking for someone to refine translations and ensure high-quality Portuguese output, I will be happy to assist.
I provide English to Portuguese (Brazil) translation review and proofreading, with a focus on improving fluency, clarity, and naturalness. I carefully review translated content, highlight sections that do not sound natural to native speakers, and suggest clearer, more idiomatic alternatives while preserving the original meaning.
My services include:
Reviewing English → Portuguese translations
Highlighting unnatural or unclear passages
Suggesting improvements in tone and wording
Checking grammar, consistency, and readability
All reviews are done manually, with clear and structured feedback. I am organized, reliable, and committed to meeting deadlines.
If you are looking for someone to refine translations and ensure high-quality Portuguese output, I will be happy to assist.
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Background
Clinical Research Assistant
Participation in clinical research activities, including data organization, documentation review, and analysis of scientific materials in English and Portuguese. This experience strengthened attention to detail, critical reading skills, and accuracy when reviewing technical texts.
Researcher – Data Science
Research in Data Science, involving data analysis, interpretation of technical documentation in English, and clear communication of results. Developed analytical thinking, precision, and structured feedback skills
Pharmacy and Biochemistry
Pharmacy and Biochemistry, with strong training in scientific reading, analytical thinking, and attention to detail. Academic background supports accuracy, clarity, and consistency when reviewing and refining English–Portuguese translations.
Machine Learning with Python
Explain key concepts, tools, and roles involved in machine learning, including supervised and unsupervised learning techniques.
Apply core machine learning algorithms such as regression, classification, clustering, and dimensionality reduction using Python and scikit-learn.
Evaluate model performance using appropriate metrics, validation strategies, and optimization techniques.
Build and assess end-to-end machine learning solutions on real-world datasets through hands-on labs, projects, and practical evaluations.
Apply core machine learning algorithms such as regression, classification, clustering, and dimensionality reduction using Python and scikit-learn.
Evaluate model performance using appropriate metrics, validation strategies, and optimization techniques.
Build and assess end-to-end machine learning solutions on real-world datasets through hands-on labs, projects, and practical evaluations.
Data Visualization with Python
Implement data visualization techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story
Create different types of charts and plots such as line, area, histograms, bar, pie, box, scatter, and bubble
Create advanced visualizations such as waffle charts, word clouds, regression plots, maps with markers, & choropleth maps
Generate interactive dashboards containing scatter, line, bar, bubble, pie, and sunburst charts using the Dash framework and Plotly library
Create different types of charts and plots such as line, area, histograms, bar, pie, box, scatter, and bubble
Create advanced visualizations such as waffle charts, word clouds, regression plots, maps with markers, & choropleth maps
Generate interactive dashboards containing scatter, line, bar, bubble, pie, and sunburst charts using the Dash framework and Plotly library
Data Analysis with Python
Construct Python programs to clean and prepare data for analysis by addressing missing values, formatting inconsistencies, normalization, and binning
Analyze real-world datasets through exploratory data analysis (EDA) using libraries such as Pandas, NumPy, and SciPy to uncover patterns and insights
Apply data operation techniques using dataframes to organize, summarize, and interpret data distributions, correlation analysis, and data pipelines
Develop and evaluate regression models using Scikit-learn, and use these models to generate predictions and support data-driven decision-making
Analyze real-world datasets through exploratory data analysis (EDA) using libraries such as Pandas, NumPy, and SciPy to uncover patterns and insights
Apply data operation techniques using dataframes to organize, summarize, and interpret data distributions, correlation analysis, and data pipelines
Develop and evaluate regression models using Scikit-learn, and use these models to generate predictions and support data-driven decision-making
Databases and SQL for Data Science with Python
Analyze data within a database using SQL and Python.
Create a relational database and work with multiple tables using DDL commands.
Construct basic to intermediate level SQL queries using DML commands.
Compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins.
Create a relational database and work with multiple tables using DDL commands.
Construct basic to intermediate level SQL queries using DML commands.
Compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins.
Python for Data Science, AI & Development
Develop a foundational understanding of Python programming by learning basic syntax, data types, expressions, variables, and string operations.
Apply Python programming logic using data structures, conditions and branching, loops, functions, exception handling, objects, and classes.
Demonstrate proficiency in using Python libraries such as Pandas and Numpy and developing code using Jupyter Notebooks.
Access and extract web-based data by working with REST APIs using requests and performing web scraping with BeautifulSoup.
Apply Python programming logic using data structures, conditions and branching, loops, functions, exception handling, objects, and classes.
Demonstrate proficiency in using Python libraries such as Pandas and Numpy and developing code using Jupyter Notebooks.
Access and extract web-based data by working with REST APIs using requests and performing web scraping with BeautifulSoup.
Data Science Methodology
Describe what a data science methodology is and why data scientists need a methodology.
Apply the six stages in the Cross-Industry Process for Data Mining (CRISP-DM) methodology to analyze a case study.
Evaluate which analytic model is appropriate among predictive, descriptive, and classification models used to analyze a case study.
Apply the six stages in the Cross-Industry Process for Data Mining (CRISP-DM) methodology to analyze a case study.
Evaluate which analytic model is appropriate among predictive, descriptive, and classification models used to analyze a case study.
Tools for Data Science
Describe the Data Scientist’s tool kit which includes: Libraries & Packages, Data sets, Machine learning models, and Big Data tools
Utilize languages commonly used by data scientists like Python, R, and SQL
Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features
Create and manage source code for data science using Git repositories and GitHub.
Utilize languages commonly used by data scientists like Python, R, and SQL
Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features
Create and manage source code for data science using Git repositories and GitHub.
React Native: Developing Android and iOS Apps
Job-ready skills that employers are looking for by using React Native for mobile app development
How to use the features of React DevTools supported by a good understanding of the key components and concepts of React Native
How to apply React Native stylesheets, layouts, events, and props to develop cross-platform mobile apps
Hands-on practice developing apps with Expo, plus testing and publishing apps by applying app debugging and publishing concepts
How to use the features of React DevTools supported by a good understanding of the key components and concepts of React Native
How to apply React Native stylesheets, layouts, events, and props to develop cross-platform mobile apps
Hands-on practice developing apps with Expo, plus testing and publishing apps by applying app debugging and publishing concepts
Developing Front-End Apps with React
Develop interactive user interfaces (UIs) and web applications using JavaScript technologies including React, JSX, and ES6.
Build dynamic front-end applications quickly and easily with reusable React components.
Employ various React concepts and features, including props, states, hooks, forms, and Redux.
Demonstrate your React skills by building several front-end applications such as a shopping cart.
Build dynamic front-end applications quickly and easily with reusable React components.
Employ various React concepts and features, including props, states, hooks, forms, and Redux.
Demonstrate your React skills by building several front-end applications such as a shopping cart.
Designing User Interfaces and Experiences (UI/UX)
Explain design, UI/UX concepts, best practices of visual development, and the key duties and responsibilities of a UI/UX designer.
Examine web design methodologies like Responsive Web Design (RWD), and Progressive Web Development.
Use Figma, the essential concepts of Figma, and its various features.
Develop applications and websites with web development frameworks, like Bootstrap.
Examine web design methodologies like Responsive Web Design (RWD), and Progressive Web Development.
Use Figma, the essential concepts of Figma, and its various features.
Develop applications and websites with web development frameworks, like Bootstrap.
Getting Started with Git and GitHub
Describe version control and its place in social and collaborative coding and in DevOps.
Explain basic Git concepts such as repositories and branches used for distributed version control and social coding.
Create GitHub repositories and branches, and perform pull requests (PRs) and merge operations, to collaborate on a team project.
Build your portfolio by creating and sharing an open-source project on GitHub.
Explain basic Git concepts such as repositories and branches used for distributed version control and social coding.
Create GitHub repositories and branches, and perform pull requests (PRs) and merge operations, to collaborate on a team project.
Build your portfolio by creating and sharing an open-source project on GitHub.
🇬🇧English
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Working hours
Monday
From08h00To18h00
Tuesday ▪ Today
From08h00To18h00
Wednesday
From08h00To18h00
Thursday
From08h00To18h00
Friday
From08h00To18h00
Saturday
Closed
Sunday
Closed
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