
iOS Engineer at Stefanini Group
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stefanini Brasil
Data Scientist
June 27, 2026 – Present
INF1407-G2-Frontend
November 27, 2024 – December 2, 2024
INF1407-G2-Frontend — GitHub repository
View ProjectINF1407-G2-Backend
November 27, 2024 – December 2, 2024
INF1407-G2-Backend — GitHub repository
View ProjectLiveAlgorithms
March 30, 2023 – June 2, 2023
This is my Swift app made for the Apple's WWDC 2023 Swift Student Challenge. Status: accepted.
View ProjectChineseCards
May 29, 2022 – May 16, 2023
This is my Swift app made for the Apple's WWDC 2022 Swift Student Challenge. Status: accepted.
View ProjectSoundage
June 13, 2021 – January 6, 2023
Project built for the 2021 WWDC Community Week's hackathon.
View ProjectSquance
April 25, 2021 – June 7, 2021
This is my Swift playground made for the Apple's WWDC 2021 Swift Student Challenge. Status: accepted.
View ProjectGuia-SwiftUI-Ilustrado
January 25, 2021 – June 2, 2023
Projeto estendido do mini-challenge 5.5 @ Apple Developer Academy PUC-Rio
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, particularly in Swift/iOS development and more recently in Data Science. This indicates a self-starter who is passionate about learning and applying new technologies. The diversity of projects, from mobile apps to backend/frontend development and data science, suggests adaptability. However, the primary focus on personal projects and a single, recent professional role as a Data Scientist means there is limited information on collaborative work environments or specific team contributions. The alignment with a Data Scientist role is present through recent projects and current employment, but the breadth of skills also includes significant mobile development, which may or may not align with the specific cultural needs of a Data Science team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insights.