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Bernardo Mendonça Caixeta is listed as Machine Learning Engineer @ LMP | M.Sc Candidate in Nuclear Engineering - COPPE/UFRJ at COPPE / UFRJ, a with 742 employees, based in Rio De Janeiro, Brazil. AeroLeads shows a matched LinkedIn profile for Bernardo Mendonça Caixeta.
Bernardo Mendonça Caixeta previously worked as Machine Learning Engineer at Coppe / Ufrj and Data Analyst at Wevy. Bernardo Mendonça Caixeta holds M.Sc In Nuclear Engineering, Nuclear Engineering from Ufrj - Federal University Of Rio De Janeiro.
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Graduated in Nuclear Engineering from UFRJ and currently pursuing a Master's degree in Nuclear Engineering at COPPE/UFRJ, I have extensive professional experience as a Data Analyst, with mastery over the main tools used, such as Excel, Power BI, Python, R and SQL Databases (SQL Server and PostgreSQL), as well as in the development and implementation of Artificial Intelligence models, more specifically Knowledge Systems, Artificial Neural Networks, Predictive and Classification Models and Optimization Algorithms.Additionally, I have a keen interest in studying and applying Transformer Neural Networks in Natural Language Processing and Computer Vision projects.Throughout my professional career, I have always prioritized what I call the 3 C's:▪ Construct scalable processes applicable to different demands;▪ Create reports that meet the objective of democratizing and facilitating access to information;▪ Cross data between areas and generate insights that consumer areas would not reach;
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Process Monitoring Laboratory (Lmp/Coppe/Ufrj)
The main activities include the Full Stack development of HMI systems, SQL Databases administrator and deployment of Artificial Intelligence models, such as Expert Systems, LLMs, Outlier Detection and Classification models.
Campinas, São Paulo, Brasil
▪ Construction and maintenance of SQL Databases containing the main Marketing indicators;▪ Creation of dashboards, issuing reports and data governance;▪ Automation of data extraction processes;
Campinas, São Paulo, Brasil
▪ Preparation of reports and dashboards covering the results of Marketing actions;▪ Automation of processes related to the extraction and maintenance of databases;▪ Analysis of internal data: sales funnel, social networks and demand monitoring;▪ Survey of market data.
Rio De Janeiro, Brasil
▪ Coordinator of the Systemic Information Governance (GIS) nucleus and member of the Strategy & Churn Analysis and R&NV Orphan Management nuclei;▪ Organization and construction of databases;▪ Creation, centralization, reporting and data governance;▪ Structuring and controlling the rationale of indicators with storage of historical bases;
Rio De Janeiro, Brasil
Monitor of the Reliability and Risk Analysis of Industrial Processes extension course, providing assistance to students on fault tree and event tree techniques, as well as their applications in making decisions about reliability, availability and safety.
Rio De Janeiro, Brasil
Acted on the Data Science for Smart Cities Extension Project at UFRJ. The activities involved:▪ Mining, Exploratory Analysis and Data Visualization;▪ Treatment of imputation of missing data;▪ Prediction and data smoothing;▪ Pattern Recognition;▪ Development of innovative tools and solutions through the use of Data Science and Machine Learning knowledge;
Rio De Janeiro, Brasil
Acted as a monitor in the discipline of Experimental Physics III - FIN231. Assistance to students in developing the experiments discussed in class, as well as understanding the theories involved.
Process Monitoring Laboratory (Lmp/Pen/Ufrj)
Simulation of a Reactor Physics code, through the implementation of Artificial Neural Networks, to estimate the Radial Power Peak Factor and the critical concentration of soluble Boron in a PWR nuclear reactor.
Rio De Janeiro, Brasil
Member of the UFRJ Analytica competition team, focusing on participating in Hackathons, Datathons and other competitions related to Data Science and Machine Learning.
Especialização em Engenharia de Fatores Humanos, com ênfase em Inteligência Artificial e modelos de Deep Learning
Thesis: "Neural Networks Applied to the Simulation of Parameters of the Reactor Physics Code for a PWR Nuclear Reactor".
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Bernardo Mendonça Caixeta works for COPPE / UFRJ.
Bernardo Mendonça Caixeta is listed as Machine Learning Engineer @ LMP | M.Sc Candidate in Nuclear Engineering - COPPE/UFRJ at COPPE / UFRJ.
Bernardo Mendonça Caixeta is based in Rio De Janeiro, Brazil while working with COPPE / UFRJ.
Bernardo Mendonça Caixeta has worked for Coppe / Ufrj, Wevy, Prudential Do Brasil, Ufrj - Universidade Federal Do Rio De Janeiro, and Ufrj Polytechnic School.
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Bernardo Mendonça Caixeta holds M.Sc In Nuclear Engineering, Nuclear Engineering from Ufrj - Federal University Of Rio De Janeiro.
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