CV

Data Science Consultant

Núclea

• Produce, test, and experiment with statistical models applied to different business areas
• Create, maintain, and update analytical reports for the squad and the business
• Bring insights and conduct experiments with business areas
• Develop predictive models using machine learning techniques to solve business problems
• Support the business and sales teams in presenting company products to potential clients
• Prepare technical presentations to discuss and demonstrate analysis and model results to technical stakeholders

Data Science Manager

BIP Brasil

• Led a cross-functional team on regulatory projects (Bacen Resolution 4,966/21), focused on credit risk model development, regulatory compliance, and data governance
• Built the 6-to-12-month strategic roadmap for the Data Science area, defined short- and medium-term goals based on company OKRs, and aligned deliverables with corporate and regulatory objectives
• Worked on Generative AI projects
• Developed and productized predictive credit risk models integrated with Big Data platforms and legacy systems; defined MLOps and monitoring practices for origination, behavior, and collections

Data Science Consultant

Kenlo

• Managed a multidisciplinary team of 9 (data scientists, analysts, financial specialists), promoting technical integration, delivery alignment, and analytical solution development
• Implemented statistical models incorporating macroeconomic variables, ran stress tests and sensitivity analyses, improving score robustness and market fit
• Implemented a Machine Learning algorithm to productize risk models across application, behavior, and collection stages, with systemic integration and predictive performance monitoring
• Analyzed large volumes of delinquency data, generated strategic recommendations, supported executive leadership, and contributed technically to internal committees and regulators

Executive Data Science Manager

minu.co

• Managed a team of 12 professionals, supported recruiting of 10 analysts/scientists, built the data science roadmap, and integrated product, engineering, and marketing for strategic analytics delivery
• Organized and analyzed data via Looker and Power BI dashboards with financial, commercial, and customer KPIs to support company OKRs
• Developed graph-based recommendation models using Neo4j, focused on segmentation and reward personalization, integrating business rules with product and marketing strategy
• Implemented predictive and time-series models for P&L and credit forecasting; structured data governance and participated in the LGPD compliance executive committee

Data Science Manager

PicPay

• Managed a team of 15 data scientists, set priorities, tracked KRs aligned to company OKRs, and led strategic initiatives in credit risk and data science
• Developed statistical and machine learning models, including time series forecasting and credit risk modeling, using R and Python across risk and customer service projects
• Led the “Customer Genomics” project, analyzing user behavior via clustering, data mining, and NLP embeddings (Generative AI) for growth and activation strategies
• Implemented automatic legal-entity categorization using NLP to review and automate business registration records, improving classification and indexing efficiency

Data Science Manager

Avante.com.vc

• Managed the data science and engineering team (10 people), set priorities, built the technical roadmap, tracked OKRs, and coordinated the company’s strategic initiatives
• Developed credit risk models for SMEs, built a predictive default system and anti-fraud solutions based on geolocation and machine learning in production environments
• Led statistical modeling and machine learning projects, training and leading a multidisciplinary team, validating models, and optimizing data-driven decision processes

Lead Data Scientist

Telefônica Brasil

• Managed a technical team of 5 and coordinated statistical and predictive modeling projects for software failure detection and customer clustering in a Hadoop environment using SAS, R, and Hive
• Integrated systems and consolidated large data volumes in Hadoop clusters using MapReduce, supporting legacy systems and aligning with the business’s Big Data strategy
• Provided strategic mentoring on analytical and predictive models focused on business insights, organizing data flows, validating deliverables, and interfacing with BI and engineering teams

Lead Data Scientist

Banco Votorantim

• Validated credit risk models based on Basel Accord parameters, analyzing performance and statistical stability for regulatory compliance and audits
• Developed regulatory and internal models estimating PD, EAD, and LGD, structuring parameters applicable across the bank’s business lines for credit risk and regulatory capital
• Calculated economic capital and unexpected losses through operational risk modeling, applied to strategic risk management indicators, supporting compliance and corporate governance

Mathematical Modeling Coordinator

Serasa Experian

• Managed the team’s mathematical modeling routines and construction of economic and sector indicators (MIS), tracking deliverables aligned with organizational strategy
• Developed 50+ statistical credit risk models, including individual (PF) and business (PJ) segmentations, applied to behavior, collections, and delinquency scores
• Conducted macroeconomic analyses with active participation in FEBRABAN meetings, built delinquency indicators, and developed a risk estimation methodology for national SMEs

Certification

The Five-Step Creative Process

Certification

Feature Engineering for Machine Learning

Certification

Experian Jam - 4th Edition (Participant)

Certification

Managing High-Performance Professionals

Certification

LangChain - Develop LLM-Powered Applications with LangChain