George Lukas S. Gomes

Data Scientist

gavb-consulting/gb.tech•  July 2021 - Present

Development of tools for building and evaluating interpretable and comparable predictive models; Migration of PySpark pipelines, optimization of SQL queries, and productization of prediction processes in cloud environments; Conducting hypothesis tests and defining controlled scenarios to validate the robustness and accuracy of models; Development of pipelines for extracting information and creating features from text data using NER, topic modeling, and regular expressions - Automation of business rules, extraction of relevant information from unstructured text, and data modeling for predictive maintenance. - Identification of similarities for cross-selling opportunities between Business Units. - Fuzzy matching strategies for deduplication of ads across different data sources. - Development of libraries and APIs for data preprocessing, automatic document classification, topic modeling, and data annotation.

Data Scientist

Callink•  July 2019 - July 2021

- Conducted regression analysis and propensity modeling. - Developed applications for classification and summarization of textual data. - Developed tools for remote task management . - Developed and managed ETL processes. - Administered databases.

Undergraduate Student Researcher

Federal University of Uberlandia •  September 2015 - June 2016

- Led educational initiatives in Artificial Intelligence, compiling comprehensive tutorials aimed at guiding individuals through machine learning with Torch7. A curated a series of exercises covering essential topics of Supervised and Unsupervised Learning, Graphical Models, Creating New Modules, and CUDA.