Gabriel Lima Novais

Experience

• 

  Autônomo

  Jul 2014 - Jul 2015

  Freelancer Consultant

  Consultant for FGV Opinião and International Intelligence Unit of FGV. The projects scope were data analysis and visualization for business purposes.Tools: Excel and R.

• 

  Fundação Getulio Vargas

  Aug 2015 - Feb 2016

  Applied Economics Intern

  My main task was to work on a project to predict and understand unemployment rate and then predict the next month's rate. The other tasks were: - Assist the team in any matter related to Econometrics; - Work with projects that needed to use both external and internal data and with the creation of dashboards in Excel;- Update databases with Macros and manually.Tools: Stata, Excel, Matlab, Bloomberg.

• 

  Fundação Getulio Vargas

  Apr 2016 - Jun 2018

  Research Assistant

  Research Assistant of Professor/Director Rubens Penha Cysne. The main activity was to organize papers, databases from BACEN and other data sources from Brazil Government and creation of codes for studies in Computational Macroeconomics and Econometrics.Tools: Stata, Matlab, Excel, Eviews, Gauss.

• 

  Fundação Getulio Vargas

  Feb 2020 - May 2021

  Researcher at Center for Regulatory and Infrastructure Studies. The main activity is to create tools ranging from web apps to Machine Learning Products. Other activity developed by CERILAB team is to organize databases from different sources and build packages. One result of our work could be seen in this link www.coregmonitor.org.Tools: Javascript, HTML/CSS, NodeJs, Pyhton, Scikit-Learn, D3.js, SQL. Helping students and teaching classes in the absence of teacher in the Statistics and Econometrics BSc course (coordinated by Professor Rodrigo S. Targino) in subjects related to programming and Quantitative Finances. Link of this course: https://sites.google.com/site/rodrigodossantostargino/teaching/statsecofgvbsc2020Tools: Python and R

  • Researcher

    Dec 2019 - May 2021

  • Student Teaching Assistant

    Feb 2020 - Jun 2020
• 

  B2W Digital

  May 2021 - Feb 2023

  Tasks from previous role, plus responsibility for providing technical guidance to the team and leading complex machine learning, recommender systems, and software engineering techniques. Responsible for creation and automation of machine learning model pipelines for product recommendation and customer segmentation; Integrating ads into recommendation algorithms to optimize the display of sponsored products; Continuously improving auction algorithms to optimize retail commerce campaigns; Using advanced data analysis, statistical modeling, and machine learning techniques to improve platform performance; Communicating data-based insights and recommendations to key stakeholders;

  • Senior Data Scientist

    Jul 2022 - Feb 2023

  • Data Scientist

    May 2021 - Jul 2022
• 

  Ada Tech

  Jan 2023 - Dec 2023

  Data Science Professor

  Programming Professor on courses aimed at upskilling, reskilling and education recruitment for companies. I taught in the following courses:• Programming techniques in Python I - Gerdau and Randstad• Machine Learning I - Hypera Pharma• Statistics I - Santander Coders• Programming logic in Python II - Ifood tech data

• 

  EloGroup

  Feb 2023 - Oct 2023

  Senior Data Scientist

  Data scientist responsible for structuring projects as well as guiding activities and objectives to junior data scientists and other team members. Activities:• Design and manage databases and data flows to ensure smooth business operations• Guidance for data management and governance within the company as well as for clients• Develop data models and data analysis that improve processes and add strategic value to the business• Collaborating on project definitions and requirements directly with clientsProjects and achievements:• Sensors´s Analysis on agricultural tractors to check misuse – CNH• Construction of an optimization algorithm to make probes available and improve logistics for oil extraction – Petrorecôncavo• Classifier model to define the granting of government credit for small entrepreneur projects – FINEP• Sales points´s analysis in order to optimize marketing resources for the sale of tobacco-related products – BAT• Classifying legal processes MVP with word2vec and other traditional techniques, in addition to the use of ChatGPT to facilitate the legal department's analysis - Willbank Show less

• 

  Mercado Libre

  Nov 2023 - now

  Data Scientist

  As a Data Scientist & Engineer on the Fraud Prevention team at Mercado Libre, my mission is to ensure the security of users' online payments and their use on platforms in different countries where the company operates. This is accomplished through the use of machine learning modeling and advanced rules techniques. Responsible for architecting, engineering, developing and operationalizing data-driven solutions for fraud detection. Activities and achievements: • Implementing fraud detection algorithms using data extracted from key sensitive internal systems, focusing on detecting abnormal monetary movements based on structured data and graphs. As a result, the Anti-Fraud Team has been driving more resources to monitor insider activity, establish normal patterns according to business attributes, detect unusual movements and implement more effective controls. • Collaborating with security teams to integrate predictive models and daily monitoring solutions generating meaningful alerts and reports.• Analyze alerts and monitor models in production, generating brief reports for the business team and providing adjustments and other actions• Researching and applying new techniques and technologies to strengthen Mercado Libre's data security posture.• Contributing to disseminating best data and modelling practices within the organization. Show less