Patrick A.Data Analyst
Skills
Data Scientist specializing in Fake News Detection research through the application of Python and Machine Learning methodologies. Proficient in frameworks and technologies such as Django, Node.js, Angular, Java, Oracle Database, and MySQL. Currently serves on a Fraud Detection team, responsible for constructing machine learning models and conducting analysis to prevent banking fraud.
Data Scientist I
11/1/2021 - 11/1/2023
Gained proficiency in developing analysis related to fraud situations, leveraging advanced analytical techniques to detect and mitigate fraudulent activities. Specialized in the development of machine learning models, employing tools such as Python and TensorFlow to enhance predictive accuracy and efficiency. Contributed to the creation of internal APIs using RESTful architecture, ensuring smooth integration and data exchange within various internal systems. Demonstrated ability to handle complex datasets, apply statistical methods, and work collaboratively in cross-functional teams to deliver scalable and robust solutions.Data Scientist III
11/1/2023 - Present
Specialized in the development and analysis related to fraud detection, contributing significantly through the creation of machine learning models aimed at identifying and mitigating fraudulent activities. Engineered internal APIs to streamline operations and enhance data accessibility across departments. Innovated a tool incorporating advanced audio recognition technology to improve user authentication processes. Additionally, played a key role in developing a facial recognition tool, leveraging deep learning techniques to ensure robust security measures and user identification accuracy.Data Analyst
1/2/2021 - 11/1/2021
Acquired expertise in developing predictive models for fraud detection, utilizing advanced machine learning algorithms to analyze and identify fraudulent activities with high precision. Designed and implemented comprehensive dashboards for effective information visualization, enabling stakeholders to make data-driven decisions by extracting and presenting key insights from the database. Fostered skills in utilizing data visualization tools and techniques to convert complex data sets into intuitive, accessible formats.Systems Analyst
11/2/2018 - 12/2/2020
Developed proficiency in the Pega PRPC platform, contributing significantly to the development of customer retention software. Demonstrated expertise in data manipulation using Oracle and utilized shell scripting for efficient report generation.Front-End Developer – XHQ (Siemens proprietary)
6/2/2018 - 11/2/2018
Executed comprehensive design of software layout and its components, coupled with proficient software development utilizing XHQ. Facilitated effective data manipulation and management using Oracle.Internship - IT - Client Management
1/2/2016 - 12/2/2017
Provided user-level support for SAP PPM and HP PPM tools, contributing to effective portfolio management using HP PPM. Developed User Acceptance Testing (UAT) protocols for HP PPM tool implementations, enhancing the quality and reliability of system updates. Managed resources through HP PPM’s Workbench configuration software, ensuring optimal program management and resource allocation within the HP PPM framework. Demonstrated expertise in handling both tool-specific and broader portfolio management tasks, utilizing HP PPM to support comprehensive program management objectives.
Computer Science at Federal Rural University of Rio de Janeiro - UFRRJ
2013 - 2018Data Science in Systems and Computing at Military Institute of Engineering – IME
2019 - 2023Industrial Computing at Technical School of Rio de Janeiro - ETERJ
2007 - 2009
Leader of the Disclosure Commission V SECCIM (Academic Week of Computer Science of the Multidisciplinary Institute) at Universidade Federal Rural do Rio de Janeiro - Rural
9/2/2015
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