LUIZ VIEIRA

English to Portuguese Translator – Accurate

Category : Translation

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.

Show phone number + email

Working hours

Monday:08h00 To 18h00
Tuesday:08h00 To 18h00
Wednesday:08h00 To 18h00
Thursday:08h00 To 18h00
Friday:08h00 To 18h00
Saturday:Not available
Sunday:Not available

Experiences

Clinical Research Assistant Hospital das Clínicas (HC-USP) 03/02/2024 - 01/01/2025

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.

Machine Learning with Python 18/12/2024
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.
Data Visualization with Python 04/12/2024
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
Data Analysis with Python 26/11/2024
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
Databases and SQL for Data Science with Python 19/11/2024
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.
Python for Data Science, AI & Development 18/11/2024
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.
Data Science Methodology 13/11/2024
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.
Tools for Data Science 12/11/2024
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.
React Native: Developing Android and iOS Apps 03/11/2024
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
Developing Front-End Apps with React 31/10/2024
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.
Designing User Interfaces and Experiences (UI/UX) 25/10/2024
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.
Getting Started with Git and GitHub 25/10/2024
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.