RNJ Informatics is a company that works on software projects for clients in the United States and Canada. Some projects carried out: - Telecommunications sector: responsible for an NLP project focused on developing new KPIs to analyze the behavior of customers and operators on calls. This initiative improved customer interaction and service by combining data analytics with strategic insights to improve operational efficiency.- Pharmaceutical Sector: developed machine learning algorithms for data analysis, improving marketing and sales strategies for medicines. My work focused on maximizing the effectiveness of marketing campaigns, resulting in a significant increase in sales through personalized recommendations.- Logistics Sector: Led the definition of data science guidelines and practices in the logistics sector, resulting in detailed documentation to guide data scientists. The result significantly improved the efficiency and quality of data science work, bolstering logistics operations with data-driven insights.To successfully carry out the aforementioned projects, I performed the following technical activities:- Technical Leadership: Guiding data science teams in data analysis projects, ensuring the application of best practices, resource optimization, and meeting deadlines.- Creating machine learning models for Regression, Classification and Clusterization problems, also included applications of deep learning for computer vision and natural language processing (NLP) problems.- Analysis of big data to extract insights that empower business leaders to make data-driven decisions.- Craft informative visualizations that communicate analysis results e enable decision-makers to understand and act upon the presented information.- Development of an API using Python and Flask;

Working for a leading global pharmaceutical client, I played an essential role in two projects: - Creation of a classification algorithm based on machine learning, capable of predicting the most effective contact channel for sales representatives when communicating with doctors. The tool analyzes profiles and behaviors, suggesting personalized approaches - whether in-person or virtual meetings - to maximize sales opportunities. - Development of an algorithm based on natural language processing (NLP) to enrich the user experience on medical content platforms. This system recommends relevant and contextualized scientific articles that are aligned with the reader's interests based on the content of specialized blogs that are being consulted.During the execution of these projects, I employed a variety of advanced technologies and performed several vital activities, including:- Create data visualizations to explain analysis and conclusions to a non-technical audience and contextualize the narrative (data storytelling).- Extracting insights from data.- Construction and training of Machine Learning models applied for NLP, clustering, classification and regression;- Exploratory Data Analysis;- Pre-processing, data cleaning, and feature engineering;- Statistical analysis of data;

The leadership of the Data Science team in the 'Preposto Digital' project, which aimed to reduce legal costs, was recognized with the national 'Intelijur' award. My technical leadership and ability to act as an interlocutor between the team, management, the legal sector and mobile development were fundamental in integrating efforts and aligning strategies, contributing to the success and recognition of the project. Below is a breakdown of the activities:- Conduct meetings with customers (mainly internal), assist in structuring projects, and design solutions based on the needs and problems;- Create data visualizations to explain analysis and conclusions to a non-technical audience and contextualize the narrative (data storytelling);- Extracting insights from data; - Construction and training of Machine Learning models applied for clustering, classification, and regression; - Exploratory Data Analysis; - Pre-processing and data cleaning; - Statistical analysis of data.

I participated in a project for Brazil's largest retailer, aimed at developing a machine learning algorithm for the automatic ranking of products. This algorithm was crucial for sorting products by relevance in response to consumer searches, ensuring that the most pertinent items were displayed as a priority. The success of this system contributed to an increase in customer retention rates and to the growth of total sales in the client's ecommerce.Responsibilities:- Study of scientific articles for the development of Computer Vision Solutions; - Construction and training of Machine/Deep Learning algorithms applied for Computer Vision, Learning to Ranking and Retrieval Information; - Creating datasets; - Data pre-processing and data analysis; - Statistical analysis of data; - Code versioning using GIT; - Data administration using the Postgres database.

I played a role in an research and development project, focusing on the creation of computer vision algorithms for the automatic processing of document images. The challenge was to develop a system capable of analyzing a document image and extracting key information, such as document edge detection, text area identification, and document type classification. This project required a blend of image processing techniques and machine learning, resulting in a effective and accurate tool for automated document analysis.Responsabilities:- Study of scientific articles in the area of Computer Vision to propose new technologies for the company.- Datasets creation;- Development of Deep Learning solutions for Facial Recognition;- Optical Character Recognition (OCR); - Edge Detection in Documents;- Automatic document classification.Skills: Python, Tensorflow, Keras, Opencv, cuDNN, CUDA

Study of scientific articles and development of solutions in the Computer Vision field.

- Development of WEB systems, dynamic websites, and Blogs.- Participation in all stages of project delivery: solution identification, schedule, valuation, the specification of requirements, documentation, planning, development, testing, and final delivery.- Extensive knowledge in the development of web systems: Back-End, Front-End, Database, Data Modeling, UML diagrams, SQL operations.

- Working with integration projects using the following technologies:SOA Middleware (OSB, SOA Suite, Weblogic) and XML (WSDL, XSD, XSLT, XQuery) products.Oracle Siebel 8.1.- Serving a large international client.

- Working on developing software to be used internally by the company's employees.Programming languages: HTML, CSS, PHP, JAVASCRIPT.Frameworks: Codeigniter, Twitter Bootstrap, jQuery.