Carlos H.

Data Scientist

Data Scientist
6/1/2022 - 12/1/2023

Developed a predictive model to detect check fraud and trained professionals on constructing and maintaining predictive models focused on bank fraud. Created a predictive model to anticipate inspections at facilities in the risk management area, along with a dashboard of risk indicators for auditors, and developed a general risk indicator using Optimization Meta-Heuristics (Genetic Algorithm, Particle Swarm, and Differential Evolution) based on established safety processes in oil and gas production platforms.

Acted as a volunteer member of the facilitating team for the data science area, organizing thematic presentations and teambuilding activities. Provided support to scientists from other projects, advising on statistical methodologies and predictive models, and sharing best practices. Prepared consultative materials on strategic themes such as credit scoring and optimization with meta-heuristics. Developed a training curriculum for the data science scholarship program to commence in 2024.

Data Scientist
9/1/2021 - 8/1/2022

Engaged in data analysis and predictive modeling to determine fuel selling prices and market share, focusing on the development of key performance indicators (KPIs). Conducted analysis of modeling results to predict non-woven quality for machine adjustment, aimed at reducing laboratory costs. Evaluated modeling outcomes to forecast student retention in educational courses, concentrating on KPI development to inform student management strategy.

Developed a Proof of Concept (POC) to present Power BI dashboards illustrating building operations data, laying the groundwork for a comprehensive data engineering project. Created a small-scale People Analytics project for the Human Resources department to facilitate recruiter workflows, automating candidate list generation from LinkedIn data.

Migrated the People Analytics project to Azure Databricks within the Microsoft Azure cloud environment. Additionally, developed introductory material and tutorials for Azure Databricks, aiding users in their transition to cloud-based tools and environments. Excelled in utilizing data analysis tools, machine learning models, Power BI, and cloud computing platforms such as Microsoft Azure and Azure Databricks for diverse projects across multiple industries.

Data Scientist
9/1/2020 - 9/1/2021

Served as a member of the data science team in the Area of Money Laundering Prevention and Combating the Financing of Terrorism (AML/CFT) within the Information Security sector. Conducted internal studies related to AML/CFT, employing data analysis techniques to profile customers with a focus on AML/CFT topics. Developed clustering models to categorize customer groups, enhancing the ability to detect suspicious activities. Utilized classification models, such as decision trees and regression models, for customer characterization, contributing significantly to AML/CFT efforts.

professor
1/1/2020 - 2/1/2020

Instructed the Computational Statistics course within the specialization program for Data Science and Business Intelligence, focusing on Big Data and BI. Developed and imparted advanced statistical concepts and methodologies tailored to data-driven decision-making processes. Utilized tools and frameworks such as R, Python, and SQL for comprehensive data analysis and interpretation. Integrated machine learning techniques and big data technologies to enhance practical understanding and application in business contexts. Guided students through hands-on projects employing real-world datasets, fostering skills in data visualization, predictive modeling, and statistical programming. Facilitated collaborative environments to encourage peer interactions and knowledge exchange.

Data Scientist
10/1/2019 - 9/1/2020

Served as a crucial member of the business intelligence cell for the Crediamigo Program, the largest microcredit initiative in Latin America, at the Northeast Bank of Brazil (BNB). Conducted internal studies focusing on microcredit, alongside meticulous data analysis to profile customers and acquire relevant information addressing both microcredit themes and business area demands. Developed a proof of concept (POC) for predicting time-series values collected by the program. Created comprehensive analytical reports and interactive dashboards using Power BI, while performing statistical analyses to develop products targeting individuals with Individual Micro Entrepreneur (MEI) registration. Utilized classification modeling and statistical tests to identify population differences, contributing significantly to product development and strategic planning.

Data Scientist
2/1/2018 - 10/1/2019

Developed proficiency in creating and implementing data exploration techniques and identifying patterns related to fiscal deviations. Led the predictive part of the Tax Intelligence Project, utilizing clustering and classification models. Demonstrated advanced skills in Big Data and Analytics within the Tax sector, partnering with Oracle Corporation and Thomson Reuters, and making significant contributions to Brazil's first Tax Intelligence initiative.

In the Legal Intelligence Project, applied Big Data, Analytics, and Artificial Intelligence to aid decision-making processes in the Legal sector. Specialized in developing predictive models to recognize patterns, solving complex legal problems including litigation, negotiation of agreements, and profile identification. Played a key role in leveraging data science techniques to enhance strategic and operational support for client projects.

Bachelor's Degree in Statistics at Federal University of Ceará
2009 - 2015

Specialization in Data Science and Business Intelligence (Big Data and BI) at Unichristus University Center
2018 - 2020

Master's in Modeling and Quantitative Methods at Federal University of Ceará
2016 - 2018