I led the development of credit models, optimizing financial metrics and reducing default rates. I trained junior data scientists and ensured model performance through continuous monitoring. I collaborated with business teams to refine credit policies and drive strategic decisions.

• Utilized structured/unstructured data and NLP techniques to develop underwriting ML models, reducing credit default rates. • Managed all phases of model creation, from feature engineering to validation, using open finance data. • Oversaw ML models' deployment in production, ensuring optimal performance through rigorous testing and continuous monitoring. • Facilitated effective liaison between data, business, and product teams, influencing strategic decisions using data-driven insights.

• Product development processes for SaaS applications, exploring novel concepts and client needs. • Development of serverless APIs using Node.js, AWS Lambda, MongoDB, contributing to scalable and efficient software solutions. • Experience with AWS Services including EC2, RDS, Lambda, S3, ECR, EBS, API Gateway, Route53, Lambda, bolstering cloud-based development capabilities. • DevOps techniques, including Docker, CI/CD, and GitHub Actions, ensuring reliable and efficient software delivery.

- Unsupervised machine learning- Graph Theory- Spectral techniques for anomaly detection in dynamic networks- Spectral Filters and Fourier transform for graphs- Python, numpy, scikit-learn, igraph, jupyter, anaconda

• Engaged in deep exploration and processing of unstructured agricultural data to identify valuable insights and inform ML model development.•Took charge of defining targets, feature engineering, and selection to optimize the performance of machine learning models.• Leveraged ML to reduce credit risk in the agricultural market, enhancing the financial stability of operations.• Extracted and structured data from a management SaaS database, preparing it for inclusion in ML models, demonstrating prowess in data preprocessing and manipulation.

- IT Customer Care - Supply Chain Intern- Development of analytical projects with IBM Decision Optimization Center - DOC- Survey and Analysis of Requirements for Projects- Routine processes with SAP

- Software development integrated with hardware- Creation of an integrated web system with hardware installable software- Implementation of cloud system at Digital Ocean- C/C++, PHP, MySQL, Javascript, HTML

- Research and implementation of a local genetic algorithm for detecting communities in networks based on graph theory- Project published in an international journal and nominated for the SBPO Scientific Initiation Award- C/C ++, R, Igraph

- Research and implementation of a spectral heuristic for the problem of detecting communities in networks using concepts from graph theory - C/C++, R, Igraph

- Linear optimization project and study of risk measures- Project presentation at the Scientific Initiation Symposium in São Paulo- Simplex optimization method