Guilherme Neves

Lead Data Scientist

I am a data scientist with 5+ years of work experience in traditional machine learning and deep learning models (regression, classification, clustering, recommendation system, anomaly detection, time series, NLP, transformers, computer vision), generative AI (LLMs), RAGs and agents (LangChain, LangGraph, LlamaIndex, Ollama), fine-tuning pre-trained models, ETL, preprocessing, data analysis, cloud computing (AWS, Azure, Databricks, GCP), MLOps and monitoring models in production (MLflow, Control-M, Docker), and data visualization (Power BI, Tableau, Looker). I have published four articles on Medium about end-to-end projects I have created, one of them is a Spotify recommendation system, and the other three are about the same sentiment analysis system for Marvel comics. I have solid knowledge in python, SQL, machine learning, deep learning and generative AI (scikit-learn, TensorFlow, PyTorch, NLTK).

I am very curious, determined, proactive, adaptable, easy-going and an enthusiast of data, physics, mathematics and technology. I am always open to new challenges. Deeply interested in research and applied science. I enjoy studying and have a great desire to learn and transform the impossible into possible. I am results-oriented, customer-focused, with excellent communication skills to interact with different areas and stakeholders, and I can manage multiple demands and deadlines simultaneously.

Bachelor's degree in Computer Science with 4 specializations: machine learning, deep learning, natural language processing (NLP), and TensorFlow developer.

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