Bruno Mioto
Data ScientistMember since June 22, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
geohazards
March 10, 2026 – Present
an R package for extracting global data related to climate risk, susceptibility, and vulnerability
View Projectcnefetools
December 12, 2025 – Present
Tools for working with Brazilian CNEFE Address Data
View Projectbig-data-bowl-2024
December 28, 2023 – January 8, 2024
The GitHub for the 2024 NFL Big Data Bowl (BDB) contest by Steven Patton, Bruno Mioto, and Joseph Armstrong
View ProjectfutebolplotR
May 21, 2023 – September 25, 2025
Brazilian Soccer badges Plots in 'ggplot2'
View Projectmanchete
July 13, 2022 – April 24, 2024
As principais manchetes dos jornais brasileiros diariamente!
View Projectggimprensa
May 24, 2022 – March 4, 2025
Temas dos principais jornais brasileiros para o ggplot2
View ProjectreservatoriosBR
August 19, 2021 – August 24, 2025
R package for Brazilian reservoirs data
View ProjectCultural Fit Analysis
The candidate's projects are primarily focused on R and data analysis, with a strong emphasis on personal initiatives. While this shows self-motivation, the lack of diverse project types, team-based projects (outside of the Big Data Bowl mention), or experience in different domains might indicate a narrower scope of experience. The projects are heavily concentrated on R, which aligns with some data science roles but might limit adaptability to environments requiring broader toolsets (e.g., Python for production, cloud platforms). The target role is 'Data Scientist', and while R is a key tool, the absence of machine learning, statistical modeling, or deployment experience in the project descriptions suggests a potential gap for a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.