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Our Data Science developers

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Luan B.

Data Science Developer

Professional Data Scientist with 6+ years of hands-on experience in Machine Learning (ML) and Artificial Intelligence (AI) projects, concerning the whole Data Science product lifecycle.

Data Science
Python
GCP
Machine Learning
PostgreSQL
AWS

6+

of experience

Full-time

availability

Brazil (EDT+1)

1 hour ahead of NY

Vinícius A.

Data Science Developer

A a Data Science Specialist and Application Development Expert who leverages his expertise in NLP, ML, AI, Agents, GenAI, and LLMs to optimize process using Hybrid Cloud solutions.

Data Science
Python
Machine Learning
SQL
PostgreSQL
Java

10+

of experience

Full-time

availability

Brazil (EDT+1)

1 hour ahead of NY

Daniel M.

Data Science Developer

Experienced Data Specialist with a strong background in transforming complex datasets into actionable insights across diverse industries such as fintech, health, e-commerce, and telecommunications.

Data Engineering
PowerBI
Python
ETL
Data Bricks
AI/ML

10+

of experience

Full-time

availability

Brazil (EDT+1)

1 hour ahead of NY

Eliana R.

Data Science Developer

A senior Data Science specialist with 7+ years of experience in Azure, Spark, and PowerBI.

Data Engineering
Azure
ETL
Spark
SQL
PowerBI

7+

of experience

Full-time

availability

Colombia (EDT-1)

1 hour behind NY

"CloudDevs delivers great results and caters to all our custom requirements. Thrilled to be working with them."

Tyler Hayes

Tyler Hayes

CEO, Atom Limbs

"Big THANK YOU to CloudDevs. The process was easy & actually affordable - this has saved me a giant headache!"

Ashley Rector

Ashley Rector

CEO, Quimby Digital
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What is Data Science?

Data Science is an interdisciplinary field that utilizes scientific methods, algorithms, processes, and systems to extract insights and knowledge from structured and unstructured data. It involves techniques from statistics, mathematics, computer science, and domain-specific expertise to analyze complex data sets and solve real-world problems...

What is Data Structure?

“Data Structure” refers to the systematic organization of data to facilitate efficient storage, retrieval, and manipulation. It plays a crucial role in computer science and programming, providing a framework for organizing and managing data elements to optimize algorithm performance. A well-designed data structure enhances the efficiency of operations on the data, leading to improved software performance and overall system reliability...

Using TypeScript for Data Science

In the ever-evolving landscape of data science and machine learning, programming languages play a pivotal role. Traditionally, Python has been the go-to language for these domains due to its simplicity, versatility, and an abundance of libraries. However, TypeScript, primarily known for its stronghold in web development, is making significant inroads into the data science and machine learning realms. In this comprehensive guide, we’ll explore how TypeScript can benefit data scientists and machine learning engineers, diving into type safety, libraries, and practical examples...

Using Go for Data Science

Data Science has become a driving force in decision-making processes for businesses and researchers alike. Python and R have been the go-to languages for data analysis and visualization due to their vast libraries and powerful ecosystem. However, there is another language that holds immense potential for Data Science tasks – Go. In this blog, we will delve into the world of Go (also known as Golang) and discover how we can leverage its libraries for data analysis, visualization, and other essential Data Science tasks. Although Go is primarily known for its concurrency and performance capabilities, it has an expanding set of libraries and tools that make it increasingly suitable for Data Science work...

Check out our Data Science blog posts

Learn more about Data Science in our guides for devs & employers

How to use Python for Data Science

How to use Python for Data Science

Python has been hailed as one of the most accessible and user-friendly languages for data science. Its popularity in the…

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How to use Dart for Data Science

How to use Dart for Data Science

Data science is a dynamic field that empowers us to extract meaningful insights from large and complex datasets. While Python…

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How to use Django for Data Analytics

How to use Django for Data Analytics

The power of web applications lies not only in their ability to facilitate user engagement and perform actions but also…

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How to use Elixir for Data Analysis

How to use Elixir for Data Analysis

Elixir, as a functional programming language, is primarily designed for building scalable and concurrent applications, particularly in the realm of…

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How to use Python for Data Cleaning

How to use Python for Data Cleaning

In the realm of data science and analysis, data cleaning is an indispensable process that lays the foundation for accurate…

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Using Python for Data Manipulation

Using Python for Data Manipulation

In today’s data-driven world, effective data manipulation is a crucial skill for any data scientist, analyst, or researcher. Python, with…

Read more

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Why hire Data Science developers with CloudDevs?

Why hire Data Science developers with CloudDevs?

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