Gabriel F.

Data Scientist

Mid-Level Data Engineer
3/1/2022 - Present

Demonstrated expertise in creating data pipelines and generating comprehensive reports by linking multiple data sources such as SQL, Google Analytics, AWS, and GCP. Successfully structured the foundational base infrastructure, facilitating the development of predictive models and interactive reports that deliver enhanced insights.

Consultant
1/1/2022 - 3/1/2022

Served as a Consultant in legal consulting, focusing on the implementation of legal systems and conducting legislative impact research. Executed a comprehensive data scraping project for a federal agency, which involved the capture, processing, and storage of data for predictive models and dashboards tailored for a multinational client. Developed the logic for data capture using HTTP requests, transformed the data into JSON format, structured the data in SQL, and contributed to the development of an NLP-based predictive model.

Tax Consultant
8/1/2021 - 1/31/2022

Served as a Consultant in tax consulting, executing diverse projects such as calculating tax incentives (Good Law), identifying fiscal opportunities, and preparing documentation for legal defense against financial penalties. A notable achievement includes the development of an MVP for a jurimetrics tool, incorporating advanced technical skills in web scraping, database cleaning, and the creation of search algorithms based on TF-IDF and KNN methodologies. Leveraged natural language processing techniques to predict case outcomes. Operated as the sole developer of this project, showcasing capabilities in both frontend and backend development.

Trainee
1/1/2020 - 8/31/2021

Assisted in the execution of diverse tax consulting projects, including the ascertainment of the Good Law, identification of tax opportunities, and preparation of documentation for defense against assessments. Created an MVP for a jurimetrics tool, which involved scraping jurisprudence and process information, cleaning the collected database, and developing simplified algorithms for keyword and similarity searches using TF-IDF and KNN. Utilized natural language processing techniques to determine process decisions, serving as the sole developer for the project. Developed technical proficiency in web scraping, NLP, algorithm development, and data cleaning.

Intern
12/1/2017 - 12/31/2018

Intern in the area of Health Care Compliance, responsible for maintaining a database of conduct deviations and assisting the sales and marketing team. Developed a classification algorithm for the sales team based on recorded deviations, focusing on type, recurrence, and importance. Created a dashboard for weekly monitoring of the sales team's performance, utilized during weekly team meetings. Developed proficiency in database management and analysis, algorithm development, and data visualization. Utilized tools and frameworks such as Python, Pandas, Matplotlib, and Excel for data handling and visualization. Demonstrated skills in creating actionable insights for sales and marketing strategies.

Marketing Manager
10/1/2015 - 12/31/2016

Oversaw the development and implementation of comprehensive marketing strategies while contributing significantly to the backend development of client projects. Acquired expertise in digital marketing tools and analytics platforms such as Google Analytics, SEMrush, and HubSpot. Developed technical skills in backend technologies including Node.js, Express.js, and MongoDB. Applied knowledge of HTML, CSS, and JavaScript frameworks, including React.js and Angular.js. Managed project workflows using Agile methodologies and tools like Jira and Trello. Enhanced collaborative efforts through version control systems such as Git and GitHub. Demonstrated proficiency in customer relationship management (CRM) systems and email marketing platforms like Mailchimp and Salesforce. Elevated technical and marketing proficiency through the integration of data-driven strategies and robust backend solutions.

Economics at University of São Paulo
2015 - 2018