Vitor T.
Data Scientist

Skills

Python

Vitor is available for hire

All Howdy Candidates are vetted for skills and english proficiency.

Bio

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
1/1/2022 - Present

Developed proficiency in producing reports and control analyses using Python. Conducted comprehensive monitoring and analysis of results. Actively participated in the development of statistical models, including Churn models and Basket Analysis, demonstrating a deep understanding of advanced data analytics techniques.
Data Science Internship
4/1/2021 - 8/1/2021

Participated in a project focused on predicting energy prices in the MIBEL Market (Iberian Electricity Market). Activities included data collection, cleaning, and processing, as well as conducting exploratory data analysis. Constructed predictive models and developed a comprehensive step-by-step technical manual. Successfully integrated the model into the SAP system.
Research Internship
1/1/2018 - 12/31/2018

Conducted research addressing the strategies and performance of companies in the Pará real estate market, focusing on the business strategies of large corporations in Belém and the urbanism of the city. Utilized the database from the Secretary of Urbanism of Belém to gather relevant data. Applied statistical analysis techniques with the assistance of software tools such as SPSS, STATA, and ArcGIS to analyze and interpret data, yielding insights into urban development trends and corporate strategies within the real estate sector.
Internship
1/1/2016 - 12/31/2017

Supervised the development and management of budget spreadsheets, showcasing proficiency in data organization and financial management. Drafted a variety of documents and comprehensive reports, ensuring accuracy and clarity. Recorded and maintained data within spreadsheets for administrative consultation, facilitating informed decision-making processes. Organized and managed databases, enhancing data retrieval efficiency. Provided critical data to support the initiation and development of new projects. Monitored and tracked the entry and exit of documents, ensuring effective document management and streamlined administrative operations.