Vitor C.
Data Scientist

Skills

Java

Javascript

Python

Mysql

Mongodb

Vitor is available for hire

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Bio

Dr. [Your Name], a data scientist with over eight years of experience, holds a PhD in Computer Science with a specialization in machine learning. Additional expertise in data science and Big Data has been acquired through extensive involvement in large-scale projects and research endeavors. This background enables the development of innovative solutions when conventional methods fall short.

The doctoral research delved into both theoretical and practical aspects of assessing machine learning models' capabilities. These investigations yielded methodologies to significantly reduce both costs and processing times of machine learning pipelines.

A portion of this research has been published in the journal Nature, and can be accessed via this link: [https://www.nature.com/articles/s41598-023-45876-9](https://www.nature.com/articles/s41598-023-45876-9).

Data scientist and Researcher
9/1/2021 - 3/1/2024

Gained extensive experience in systems development, leveraging machine learning for various predictive and classification tasks. Applied statistical analysis techniques to large datasets, contributing to data-driven decision-making processes. Developed a strong foundation in data science, utilizing Python for complex data manipulation, transformation, and analysis. Created interactive visualizations to represent data insights effectively. Managed and interacted with both relational and non-relational databases, ensuring data integrity and accessibility. Most activities were executed using tools such as Python, SQL, and Azure, showcasing proficiency in cloud-based solutions and database management.
Data scientist Sr
9/1/2020 - 9/1/2021

Specialized in systems development, machine learning, statistical analysis, data science, and interactive visualization. Gained expertise in both relational and non-relational databases. Leveraged tools and frameworks such as Python, SQL, and AWS to perform the majority of tasks.
Data scientist Sr
9/1/2019 - 9/1/2020

Developed expertise in systems development, machine learning, statistical analysis, and data science, emphasizing interactive visualization techniques. Gained proficiency in working with both relational and non-relational databases. Leveraged tools and programming languages such as Python and SQL extensively. Utilized Google Cloud services to deploy and manage applications and data solutions effectively.
Data Scientist (Scholarship Researcher)
1/2/2016 - 1/2/1900

Gained expertise in systems development, machine learning, statistical analysis, and data science, utilizing R and Python for computational tasks. Engaged in handling both relational and non-relational databases, employing MySQL and MongoDB to manage and analyze large datasets. Advanced skills in JavaScript were applied for interactive visualization projects. Developed a web system named MGCOMP specifically for creating and comparing metagenomics, integrating complex data processing workflows. Successfully authored and presented a paper on Metagenomics-based signature clustering and interactive visualization analysis at the IEEE World Congress on Computational Intelligence 2018, held in Rio de Janeiro, Brazil.
Data Scientist/ Full-Stack Developer
3/2/2015 - Present

Developed expertise in systems development, machine learning, statistical analysis, and data science. Created interactive visualizations and managed both relational and non-relational databases using tools such as R, Python, MySQL, MongoDB, and JavaScript.
Software developer (Internship)
8/2/2011 - 8/2/2013

Developed proficiency in systems development, statistical analysis, and relational databases with primary tools including R, Java, and MySQL. Led the creation of software solutions to support bioinformatics research and doctoral theses, notably for a cyanobacteria database. Engineered software to synchronize cyanobacteria data from the National Center for Biotechnology Information (NCBI) with a newly established database. Presented a detailed summary of modeling a relational database for a cyanobacteria web platform, synchronized with the NCBI, at the XXXII Congresso da Sociedade Brasileira de Computação (CSBC) in 2012, Curitiba.