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An innovation project specialist with over seven years of expertise in data science and automation development, characterized by active involvement in a broad spectrum of projects. This experience encompasses audio processing experiments, the management, implementation, and evolution of customer service platforms, alongside diverse endeavors such as modeling, forecasting, classification, chatbot development, and Robotic Process Automation (RPA). Brazilian by nationality, originating from Belo Horizonte and currently residing in Curitiba. Possesses a degree in Control and Automation Engineering and is presently engaged in a master's program in Artificial Intelligence.

This candidate holds a degree in Systems Analysis and an MBA in Software Engineering, complemented by ongoing education in Artificial Intelligence and Machine Learning. With practical experience in full-stack software development, utilizing technologies such as Java, SQL, and React, they have contributed to projects aimed at optimizing investment portfolio management and developing comprehensive ERP solutions for the financial sector. Although initially engaged in support roles, they demonstrate a strong commitment to transitioning into software development, as evidenced by their proactive participation in personal projects on GitHub and a willingness to undertake entry-level opportunities for advanced learning and experience.

Business Intelligence applications developer since 2018, possessing extensive expertise in data processing through the utilization of QlikView, Power BI, R, and Excel, along with foundational knowledge in Python.

Civil Engineer with a degree from the Federal University of Pará, currently engaged in a master's program in Applied Econometrics and Forecasting at the Lisbon School of Economics & Management, University of Lisbon. Proficient in Exploratory Data Analysis, Business Analytics, Time Series analysis, Feature Engineering, Machine Learning, and Data Manipulation.

Data Scientist specializing in the development of data-driven products aimed at enhancing revenue and reducing costs through Data Analysis, Business Intelligence, and Machine Learning techniques. Expertise includes product classification, Key Value Item selection through customer behavior analysis, and the application of Graph Theory in analytical processes. Proficient in managing product recommendation models, calculating performance metrics, and automating processes using SQL, Python, PySpark, and visualization tools such as Power BI.

Previous experience includes developing Lifetime Value (LTV) calculation models and business metrics projection models for customer acquisition and retention. Created dashboards using Shiny R for metric consultations and analyzed advertisement outcomes using R language and RStudio.

Educational background includes an MBA in Data Science & Analytics, with a focus on Machine Learning techniques such as Clustering, Correspondence Analysis, Factorial Analysis (PCA), GLM/GLMM Regressions, Time Series Analysis, and Tree Models, along with a strong foundation in Statistics and Hypothesis Testing. Currently pursuing further education in Technology for Business: AI, Data Science & Big Data while actively engaging in ongoing studies within the Data Science community.

Research experience includes two years in Field Theory during undergraduate studies, culminating in three published scientific papers internationally. Master's degree research focused on Particle Physics, resulting in participation in an international publication. The overarching goal is to excel as an independent Data Scientist, devising solutions that significantly enhance business outcomes.

With over four years of experience, this professional is a Senior Technical Specialist adept in Power Platform and Azure architecture, focusing on solution delivery within budget and timeline constraints. A proven leader in managing development teams and driving project execution, they provide technical guidance to junior developers while implementing best practices in software development. The candidate has authored over ten articles on Power Platform, with notable publications and speaking engagements at Microsoft events. Holding a Data Science degree from IBM and currently pursuing Software Engineering, this individual possesses advanced skills in technologies such as Power BI, Microsoft Fabric, and various programming languages, alongside certifications in multiple Microsoft domains. A self-directed learner, they are deeply committed to agile methodologies, continuously enhancing their technical proficiencies and sharing knowledge to foster team success.

Data Analyst with over three years of experience, transitioning to a career in development. This professional background includes significant involvement in various startup projects, leading to a strong proficiency in web scraping, object-oriented programming (OOP), Python, SQL, and R. Expertise extends to major Python web development frameworks, including Django, Flask, and FastAPI. Additional skills encompass JavaScript, HTML, CSS, and version control using GIT. Dedication to continuous learning and a passion for programming concepts are evident, with a focus on producing clean, readable, and scalable code.

Data scientist with over two years of experience and a degree in Aeronautical Engineering, specializing in data engineering and data science projects. Expertise includes utilizing statistical analysis and machine learning methodologies to solve complex problems, with proficiency in tools such as Python, R, Power BI, and SQL. Recent accomplishments involve developing machine learning models for industrial applications, creating ETL tools for carbon emission reporting, and designing management dashboards to improve decision-making processes. Holds multiple certifications in Data Science and relevant technologies, demonstrating a commitment to continuous professional development.