Yuiti Ara
ML EngineerData Scientist | Machine Learning Engineer
MileIQ
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist | Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
https://github.com/yuiti-ara https://medium.com/@yuiti https://www.kaggle.com/yuitiara
University of Waterloo
Computer Science
August 1, 2014 – December 1, 2015
USP - Universidade de São Paulo
Bachelor's degree, Information Systems
January 1, 2012 – January 1, 2017
MileIQ
Machine Learning Engineer
July 1, 2024 – Present
United States · Remote
Signifyd
Data Scientist
March 1, 2023 – June 1, 2024
United States · Remote
Legiti
Senior Data Scientist
January 1, 2020 – March 1, 2023
Remote
Liv Up
Senior Data Scientist
November 1, 2018 – January 1, 2020
São Paulo Area, Brazil
Itaú
Senior Data Scientist (Level III)
July 1, 2018 – November 1, 2018
Greater São Paulo Area
Sciensa
Data Scientist | Machine Learning Engineer
December 1, 2017 – June 1, 2018
São Paulo Area, Brazil
Sciensa
Machine Learning Engineer
December 1, 2016 – November 1, 2017
São Paulo Area, Brazil
Lakes Environmental Software
Software Engineer
October 1, 2015 – April 1, 2016
Waterloo, Canada
Universidade de São Paulo
Research Assistant
August 1, 2013 – July 1, 2014
Greater São Paulo Area
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in diverse industries including anti-fraud, e-commerce, food delivery, and finance, indicating adaptability to different business contexts. Their experience spans startups (Legiti, Liv Up) and larger corporations (Signifyd, Itaú), suggesting a broad cultural fit. The consistent progression in Data Scientist/ML Engineer roles aligns well with the target role. However, the lack of explicit project details or community involvement makes a deeper cultural fit assessment challenging.
Soft Skills & Operational Fit
The candidate's experience at Legiti, an early-stage startup, suggests adaptability, initiative, and the ability to work in dynamic environments. Their role in architectural design and enforcing coding discipline indicates leadership potential and a focus on best practices. However, without specific psychometric test results or interview data, a detailed assessment of soft skills and operational fit is limited.