Dissertation: Comparative analysis between the NARMAX and E-TUNI methodology applied to predicting the flow of river basins.I studied the behavior of the Furnas and Camargos basins in Minas Gerais, developing a study applying Artificial Neural Networks in the NARMAX and E-TUNI configuration and comparing the techniques with each other.Main techniques: MLP Neural Networks, NARMAX, E-TUNI, Wilcoxon Test.Participation in Projects:- ALFA-BD: Fluency Analysis in Literacy in Big Data: Creation of a script for noise removal and audio processing;- A-Star Based Algorithm Applied to Target Search and Rescue by an UAV Swarm: Simulation of Independent Drone Swarm in equipotential system in the object search and rescue mission;

Main Activities:- Creation of business rule-based pipelines for refined table construction;- Development of supervised and unsupervised Machine Learning models focused on real business problems;- Training of new data analysts in the squad;- Process optimization reducing operational costs;Deliverables:- Marketing Mix Modeling: Bayesian regression modeling to measure the impact of paid media investments and budget optimization;- Life Time Value: development of LTV models focused on predicting the long-term financial margin of leads;

Activities:- Advanced statistical modeling: exploratory data analysis, hypothesis testing, predictive and explanatory analyses;- Development of KPIs, dashboards and personalized alerts for the Growth area - Acquisition through BI platforms;- Structuring, monitoring and analyzing A/B tests;- Weekly time series modeling to monitor performance and detect anomalies;Deliverables:- Lead communication A/B test: study of timings between communications aimed at increasing acquisition conversion;

I worked over the 2 years in various Data Expert training in the positions: Consultant/ Staff/ Facilitator/ MonitorConsultant: I taught live classes, prepared educational materials, knowledge tests and teaching projects so that students could develop in the area. I taught content involving the modules: descriptive and inferential statistics, data analysis, data cleaning and manipulation, Python, SQL, Solving cases of modeling classification models, regression and clustering.Facilitator: worked on Hackthons and special student projects providing technical support during data science activities.Staff: created exercises and didactic cases so that students could practice the content learned in the course module.Monitor: in the role of mentor, I evaluated the students' reports at the end of each sprint, providing feedback on the documentation and progress of the project. I conducted weekly meetings to discuss the group's project with real companies and helped them prepare deliverables.

Activities:- Customized BI consultancy for companies in the following segments: financial, retail, medical and agricultural;- Development of scripts in Python and R languages ​​aimed at creating dashboards for employees of large retail companies;- Analysis of queries in relational banking systems;- Query customization using NLP from Looqbox;Highlighted Projects:- Cost and performance optimization: transition from R scripts to Python achieving a significant cost reduction and processing time by 50%;- End-to-end BI: pipeline from the company's raw data to building the relational database within Big Query, creating metrics and monitoring reports;

During the period, the following projects and activities were carried out:- Teaching Project: Support for the development of teaching resources for a new subject on machine learning at EEL.- Teaching Project: Teaching integral differential calculus II through problem-based learning.

This project investigates the transformation between coordinate systems applied to GPS positioning. We compare several existing methods and their accuracies in studying the relationship between Cartesian and geodetic coordinates, as well as direct and inverse transformations (obtaining geodetic coordinates from Cartesian coordinates).Main Activities:- Developed software in MATLAB for transforming geodetic coordinates to Cartesian coordinates and vice versa;- Wrote an academic report presented to INPE at the end of the Scientific Initiation program;Presented the work at SICINPE-2018.Studied Method:- Hofmann-Hellenhof Direct Method;- Hofmann-Wellenhof Iterative Method (Bowring and Rapp);- Ligas-Banasik Iterative Method.Tools: MATLAB, LaTeX