Pedro Gonçalves Email and Phone Number

- I conduct research in academic libraries and technical literature to identify the latest trends and advances in machine learning models;- I collect, clean, and organize relevant data to train and evaluate the models;- I design, implement and optimize machine learning models, including supervised and unsupervised algorithms, to solve specific problems;- I perform data pre-processing, including normalization, standardization, selection of relevant features and other data preparation techniques;- I define suitable metrics to evaluate the performance of machine learning models on different tasks, such as accuracy, precision, recall, F1-score, among others;- I work closely with other data scientists, software engineers and domain experts to design effective and applicable solutions to real-world problems;- I maintain detailed technical documentation of all work performed, including methodologies, approaches, results and conclusions reached;- I use mostly Python, but with some studies being conducted in R, Excel VBA and Pipes (in-house programming language);- I perform prompt engineering for models with integration with API's from GPT tools and other LLMs;- I develop models for prediction and prevention related to oil & gas time series problems;

- I carried out sensitivity studies and created data-driven logistic and time series prediction models using Python and Pipes to predict process behavior and identify possible failures before they occur;- I reconciled data from different sources and proposed new visualizations and new forms of analysis;- I ensured the integrity of the data collected during all the manipulation phases until the final visualization for the client;- Analyzed, manipulated, and transformed data in real-time to monitor drilling and upstream systems of offshore platforms.- I set alarm limits to ensure equipment safety. I also monitored energy consumption systems to ensure sustainability guidelines and client requirements;- I created and updated Business Intelligence dashboards with the main KPIs for each piece of equipment, ensuring clear, real-time information for engineers;I mainly used the Python language (ScikitLearn, Tensorflow), Pipes, and SQL, and a little React, Javascript, and HTML in some work routines.

Professor of the course: "Applications with Artificial Intelligence"I teach the evolution of the digitization process of the industry with real examples so that the student can understand and recognize the opportunities that Artificial Intelligence can bring to the company/business.

Brazillian company that provides services and process solutions for several sectors of the oil and gas industry.- Research solutions for oil and gas pre-treatment and refining systems for offshore platforms;- Development of Machine Learning and Deep Learning models based on process data;- Data treatment and data science of existing and operating systems;-Optimization of offshore systems for Natural Gas purification using Python programming and EMSO simulator.

Brazilian division from North-america multinational, global leader in the non-alcoholic beverages segment. I worked in the company's regulatory sector.- Supported Strategic Planning, Marketing and Governance areas in multifunctional innovation projects for both carbonated and non-carbonated beverages; - Managed products/manufacturers registration process, supported project discussions based on the Brazilian regulatory scenario; - Responsible for creating and automating Key Performance Indicators (KPI) system of the area in order to perform biannual reports to area's leadership;- Responsible for evaluation and approval of several formulas and products to ensure compliance with Brazilian and global standards. - Helped on the development of two intern students;- Organized area events (planning, budget, presentations and management of external guests).

- Assisted in the evaluation of formulas, ingredients and labels to meet the criteria of safety, health and transparency established by national and international regulatory entities and also comply with internal policies;- Provided technical and regulatory support to meet the needs of manufacturers and other internal areas;- Offered technical and scientific support for the development of materials directed to the internal and external public and technical questions for Consumer Relations area;- Responsible for maintaining a database with all the information in the company's portfolio.

National company focused on structural calculation of buildings, towers and platforms. - Assisted in project preparation (plant shapes , sections, elevations and details ), on preliminary projects definitions and executive metal structures and reinforced concrete projects ; - Developed projects in 2D and acting in structuring beams, slabs, columns on integrated CAD / TQS systems.

Project entitled "Recovery of rare earth elements from catalysts used in FCC units". Aimed at developing rare earth element recovery techniques from zeolites used as catalysts in FCC (Fluid Catalytic Cracking) units to avoid waste.