Pedro Didier Maranhão Email & Phone Number

Working as a Data Scientist along with one of the biggest Ed. Techs in the world, developing NLP based services to support the plataform and help bring in new functionalities.

Recife, Pernambuco, Brasil

• Coordinator of all data science related activities within PickCells, designing machine learning products and making high impact techincal decisions.
• Leveraging Large Language Models (LLMs) and BERT embeddings for enhanced identification of medical conditions from text, streamlining medical record filing.
• Leading Data Science projects in collaboration with like Nestlé, Real Hospital Português, and Sabin, driving innovation and results.
• Developing advanced computer vision solutions using Vision Transformers (ViTs), CNNs, and Object Detection methods.
• Deployment and monitoring of Machine Learning models on AWS, ensuring robust performance and reliability.
• Extraction and wrangling of medical data using SQL, Pandas, and PySpark, optimizing data processing and analysis workflows.

Belo Horizonte, Minas Gerais, Brasil

• Collaborated with a team of data scientists at Banco Inter, utilizing machine learning techniques to identify potential churn in credit card customers, enhancing customer retention strategies.
• Developed Machine Learning and statistical models focused on churn prediction, survival analysis, and customer segmentation, driving strategic insights and decision-making.
• Designed and implemented ETL processes for efficient dataset creation, significantly enhancing data processing speed and reliability.
• Played a key role in the development and code refactoring of credit analysis models.

Recife, Pernambuco, Brasil

• Served as the technical lead and team manager in the domains of data science and machine learning.
• Directed a dynamic team of data science interns on projects spanning data science and computer vision, collaborating with esteemed partners such as Nestlé, Sabin laboratory network, UFPE, Real Hospital Português, and.
• Managed the full spectrum of data science processes - from data extraction, analysis, and feature extraction to data preparation and presenting findings to stakeholders.
• Guided the life cycle of machine learning projects, from data collection and preparation, feature engineering, to model deployment.

Recife, Pernambuco, Brasil

• Leveraged and adapted state-of-the-art Machine Learning models for applications across computer vision, tabular data, and NLP, within diverse medical fields such as parasitology, pathology, and virology;
• Played an active role in client meetings - from problem comprehension and solution ideation to product co-creation with stakeholders;
• Crafted a high-performing ML algorithm to enrich tabular datasets, mitigating the issue of missing data for business partners.

Recife, Pernambuco, Brasil

• Analyzed healthcare data, transforming it into impactful visual insights;
• Utilized Machine Learning to identify trends in laboratory exam data;
• Developed ML pipelines to improve COVID19 diagnostic processes;
• Gained hands-on experience solving real-world problems using data science.