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PhD in Physics, Complex Systems

Federal University of Ceara, Fortaleza, Brazil

• Thesis "Computational analysis for socio-economic sciences".

Visiting PhD in Physics, Complex Systems

City College of New York, New York, United States

Visiting PhD in Physics, Complex Systems

University La Sapienza, Rome, Italy

MSc in Physics, Complex Systems

Federal University of Ceara, Fortaleza, Brazil

• Thesis "Interpolation strategy based on Dynamic Time Warping".

BSc in Physics

University of Turin, Turin, Italy

• Thesis "Monte Carlo Simulation of the radiation distribution emitted by a CT scan in the field of the radioprotection".

Data Science Specialist

Reale Mutua, Turin, Italy

• As a Data Scientist Specialist at Reale Mutua, my primary focus is on working with unstructured data using Generative AI, Natural Language Processing (NLP) and Deep Learning models. I work on the Azure cloud infrastructure, leveraging its capabilities to design, develop, and deploy advanced artificial intelligence solutions.
• Technologies: Generative AI, Deep Learning, Machine Learning, Azure, Python, FastAPI, Docker.

Data Scientist Specialist | Machine Learning Engineer

Reale Mutua, Turin, Italy

• FraleAnalitica was born from a personal project with a friend, aiming to apply machine learning and deep learning techniques in the fields of agriculture, particularly beekeeping. In FraleAnalitica, I serve as a technology consultant, freelance Data Scientist Specialist, and Machine Learning Engineer. My primary responsibilities include developing, deploying, and maintaining AI services for agricultural and beekeeping applications.
• Technologies: Azure, MLOps, Machine Learning, Deep Learning, FastAPI, Docker, and Python.

Data Scientist | Machine Learning Engineer

Inda - Intervieweb S.r.l. - Zucchetti Group, Turin, Italy

• Data scientist at INDA (Intervieweb S.r.l. solution, a Zucchetti company) working principally with Natural Language Processing (NLP) and Deep Learning. Responsible for the development, deployment, and maintenance of machine learning solutions.
• Technologies: AWS EKS, AWS ECS, AWS Lambda, AWS Sagemaker, Python, Docker, Kubernetes, FastAPI, ElasticSearch, MongoDB, etc.

Data Scientist Specialist

Samsung SDS, São Paulo, São Paulo, Brazil

• Data Scientist Specialist in CRM area at Samsung SDS. Responsible for the development and deployment of propensity models, churn models, sentimental analysis, and RFV models.
• Technologies: Data Lake, HDFS, Brightics, Adobe Campaign, Python, Scala, Docker, Spark, and PySpark.

Data Scientist

Santander Bank, Sao Paulo, Sao Paulo, Brazil

• Data Scientist in Santander DataLab. Data Lab is an innovative area whose aim is to develop large cross-areas end-to-end projects. Data Lab works as a consultancy society within the bank. In the lab, the interaction between product owners, data engineers, data scientists, and machine learning engineers is strongly encouraged. My responsibilities there are from one side to develop machine learning models (as data scientist consultant). Due to the heterogeneity sof the projects, also the applied machine learning and deep learning models are heterogeneous. On the other side, I am also responsible for checking the entire pipeline (from the ETL, the development of the models, and finally the deployment).
• Technologies: Data Lake, Hadoop, Cloudera, Python, Scala, SQL, Hive, Impala, Spark, PySpark, and Oracle.

Data Scientist

Santander Bank, Sao Paulo, Sao Paulo, Brazil

• Data scientist at Santander Bank in Customer Relationship Management (CRM). My position there was of senior data scientist and my responsibility was the development of machine learning models for different purposes (propensity and churn models for different products among others). Such models were typically machine learning supervised algorithms such as Random Forest, Gradient Boosting, Logistic Regression, and Artificial Neural Networks as well as unsupervised algorithms such as hierarchical, k-means, and DBSCAN. Furthermore, we worked with NLP algorithms for sentimental analysis of reclamations data.
• Technologies: Data Lake, Hadoop, Cloudera, python, R, Scala, SQL, Java, ShellScript, Hive, Impala, Spark, PySpark, and Oracle.