Daniel Basso Ribas

Daniel Basso Ribas has a diverse work experience spanning various roles and industries. Daniel started their career at Trinity College Dublin as a Summer Intern, where they worked on refining the technique of Latent Class Analysis.

Daniel then joined Banco do Brasil, where they worked as a Data Scientist in the Cyber and Fraud Unit. Daniel'sresponsibilities included data modeling for fraud prevention, maintaining computing infrastructure, and building a calculation engine for real-time transaction scoring. Daniel later transitioned to the role of Software Engineer and Data Engineer, tasked with software development, statistical analysis, database management, and Linux server maintenance.

After their time at Banco do Brasil, Daniel worked at Bradesco as a Senior Analyst in the Controlling Department. Here, they assisted in developing technological solutions and conducting data analysis for decision making. Daniel also provided consulting services and taught coding to team members.

Following their stint at Bradesco, Daniel joined Capgemini as a Digital Solutions Consultant. In this role, they worked as a developer and data analyst, focusing on improving the customer's Big Data clusters. Daniel'sresponsibilities included conducting data analysis, building microservices and stream pipelines, and providing consulting services in software development and data science.

Currently, Daniel is working at dMetrics as a Senior Backend Engineer. The specific details of this role are not provided, but it can be inferred that they are involved in backend development and engineering tasks.

Throughout their career, Daniel has gained experience in a wide range of technologies, including Java, Scala, R, Python, Ansible, Prometheus, Grafana, and various components of the Big Data ecosystem. Daniel has also demonstrated expertise in statistical analysis, database management, and Linux server maintenance.

Daniel Basso Ribas has a strong educational background in the field of data science and statistics. Daniel completed their Bachelor's degree in Statistics and Probability from Universidade Federal do Paraná from 2011 to 2016. Later, they pursued a Graduate degree in Data Science and Big Data from the same institution, which they completed from 2018 to 2019.

In addition to their formal education, Daniel has also obtained various certifications to enhance their skills and knowledge. Daniel has certifications in areas such as Apache Flink, Spark Performance Tuning with Scala, Apache Spark Streaming 3 with Scala, Spark Optimization with Scala, Advanced Scala and Functional Programming, Apache Spark 3 & Big Data Essentials in Scala, Scala & Functional Programming Essentials, Web Application Security, Artificial Intelligence Training, Cognitive Systems, Computer Vision and Image Recognition, Graph Analysis for Big Data, Natural Language Processing and Speech Recognition, Build a Backend REST API with Python & Django (both Beginner and Advanced levels), Deep Learning II, Deep Learning I, GPU Parallel Programming, Deep Learning Frameworks, and Introduction to Artificial Intelligence. These certifications cover a wide range of topics, including big data processing, programming languages, web development, and machine learning. The certifications were obtained from various institutions such as Rock the JVM, Udemy, Data Science Academy, and DARYUS.

Overall, Daniel Basso Ribas has a strong educational background supplemented by relevant certifications, making him well-equipped in the field of data science and related areas.