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Data Scientist at Tesorio
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Deployed several machine learning models to production with significant business impact. Worked on Insurance Pricing, Lead Classification, Customer Segmentation, Churn Prediction and others. Extensive experience with most of the modern data science stack such as Python, Scala, Spark, Airflow, Scikit-Learn, XGBoost / LightGBM, Pandas.
Universidade Estadual de Campinas
Master's degree, (Bayesian) Deep Learning
January 1, 2016 – January 1, 2018
Universidade do Estado de Santa Catarina
Bacharelado em Ciência da Computação
January 1, 2011 – January 1, 2014
Tesorio
Data Scientist
September 1, 2021 – Present
minu.co
Data Scientist
April 1, 2021 – September 1, 2021
São Paulo, Brazil
Youse Seguros
Data Scientist
January 1, 2018 – April 1, 2021
São Paulo, São Paulo, Brazil
Datart
Data Scientist
September 1, 2016 – September 1, 2017
Greater Campinas
Motorola Mobility (a Lenovo Company)
Machine Learning Researcher
February 1, 2016 – December 1, 2017
Campinas e Região, Brasil
Unimed Federação Santa Catarina
Analista de Sistemas
December 1, 2014 – February 1, 2016
Unimed Federação Santa Catarina
Estagiário
July 1, 2014 – November 1, 2014
UDESC
Monitor de Linguagens de Programação e Algoritmos
August 1, 2012 – July 1, 2014
Cultural Fit Analysis
The candidate's experience is heavily concentrated in Data Science and Machine Learning roles. While this demonstrates strong analytical and technical capabilities, the target role is 'Backend Engineer'. This represents a significant shift in domain. The candidate's project diversity is within the ML/DS realm, and there is no explicit experience or projects related to traditional backend engineering (e.g., API development, microservices, database design for transactional systems, distributed systems). This lack of direct alignment with backend engineering principles suggests a potential cultural fit challenge for a pure backend role, as the candidate's primary expertise and interests appear to be elsewhere.
Soft Skills & Operational Fit
The candidate's resume highlights experience in deploying machine learning models and working on diverse projects, suggesting an ability to translate technical work into business value. The role as a 'Monitor de Linguagens de Programação e Algoritmos' indicates some teaching or mentoring capabilities. However, specific soft skills like teamwork, problem-solving approach, or adaptability are not explicitly detailed in the provided data.