Hi, my name is Leonardo! I’m a data scientist and software engineer with a background in computer science and applied mathematics. Here’s my backstory:Computers have fascinated me since childhood. That sense of wonder led me to web development summer camp and later to my first Visual Basic program at age 12. Yet it was artificial intelligence – the field at the forefront of what computers are capable of doing – that really got me hooked. That path led me to an information technology degree at my vocational high school and later a computer science program at university. With the rise of machine learning, the role of mathematics in AI and data science motivated me to pivot to an applied mathematics degree. Throughout my journey I sought to develop expertise in AI. Highlights include a specialization in deep learning and a thesis on Transformer models for natural language processing (NLP).With a solid background in mathematics and statistics, as well as computer science, I am today a data scientist. With tools such as Numpy, Pandas, and Scikit-Learn, I seek to discover insights and build systems from data. My expertise is in machine learning, especially deep learning with libraries such as Tensorflow or PyTorch. My skills also extend to software engineering.Back when I first learned web development, people built static websites out of tables in HTML and CSS. Nowadays, I am a full stack developer who builds websites in modern JavaScript using React and Node.js. Over the years, I have built a strong foundation in software engineering with knowledge of algorithms, data structures, testing, and project methodologies, as well as database systems (e.g. SQL and MongoDB). In addition, I program in a number of languages such as C, Java, Python, Ruby, etc.
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Data ScientistSymphony.Fr May 2022 - Mar 2023Revolutionizing food through automation! Data scientist role at French meal startup. My responsibilities include:• Designing and implementing data features for full-stack software applications using JavaScript, Next.js, React, and Redux.• Constructing mathematical models for high-dimensional vector spaces.• Developing systems for natural language processing (NLP) using deep learning and Python.• Building recommendation and personalization systems.• Structuring database operations with MongoDB and Mongoose.• Reviewing code. Discussing new features and UI/UX solutions with the team.Who knew robots could make food, huh?
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Software EngineerFlomatika Nov 2021 - May 2022Full-stack role at Australian startup in value stream management (VSM) market. Highlights of my activities include:• Building data platform using React, Node.js, and TypeScript.• Implementing and monitoring serverless APIs with AWS Lambda.• Applying modern DevOps practices with GitLab CI/CD, Jest, and Postman.• Creating data visualizations and UI components using Zingchart, MUI, and FluentUI.• Implementing database access operations with PostgreSQL, PL/pgSQL, and Sequelize.• Collaborating with product managers and UI/UX designers as part of an Agile team, using tools such as Jira, Figma, and Miro.Efforts focused on creating analytics applications. -
Data ScientistImpulso - Gov Sep 2020 - Dec 2020Internship at NGO applying technology to public health. As a member of the technology and data team, my activities included:• Creating analytics dashboards with Streamlit and Plotly.• Analyzing data in Jupyter notebooks with Numpy and Pandas.• Preparing data visualizations and presenting findings.• Improving and maintaining REST APIs in Python.• Reviewing and documenting mathematical and statistical models.Our primary projects were focused on combating the COVID-19 pandemic. -
Undergraduate Research AssistantUniversidade Federal Do Rio De Janeiro May 2016 - Jul 2017Rio De Janeiro, BrazilUndergraduate research project studying traffic patterns in the Rio de Janeiro metropolitan region through social media data. Our tasks included:• Mining web data using Python and BeautifulSoup.• Retrieving social media data from dedicated APIs.• Analyzing social network posts through natural language processing (NLP) techniques.• Reviewing existing literature on the topic.
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Information Technology TechnicianJustiça Federal Do Rio De Janeiro Jan 2012 - Jun 2012Rio De Janeiro, BrazilInternship in IT infrastructure department of Justiça Federal. Activities included:• Monitoring servers, internal networks, and long-distance links.• Managing and updating IT security systems.• Coding scripts with Ruby for internal system administration uses.• Building internal documentation systems with HTML/CSS/JS and Drupal.
Leonardo Dantas Education Details
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Computer Science -
Information Technology
Frequently Asked Questions about Leonardo Dantas
What is Leonardo Dantas's role at the current company?
Leonardo Dantas's current role is Data Scientist | Software Engineer | Machine Learning Engineer.
What schools did Leonardo Dantas attend?
Leonardo Dantas attended Fgv, Federal University Of Rio De Janeiro, Iserj - Instituto Superior De Educação Do Rio De Janeiro.
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2br.pwc.com, gmail.com
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1gmail.com
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Leonardo Dantas
Front-End Software Engineer | Typescript | React.Js | Next.Js | Express.JsCampo Grande, Ms -
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