Eduardo Henrique Vieira Dos Santos Email & Phone Number

Blumenau, Sc, Br

Blumenau, Santa Catarina, Brazil

Consultant, researcher and developer of Artificial Intelligence solutions. • Generative AI applied in project analysis; • Agentic RAG applied in finances;Use of: • Machine Learning, Generative AI, Vector Databases, RAG; • Python, Pandas, NumPy, FastAPI, Scikit-learn, Statsmodels, LangChain, Llama-Index; • Blob Storage, PostgreSQL, MongoDB, ChromaDB; • Matplotlib, Plotly, Seaborn, Jupyter notebook; • Docker, Podman; • GitHub;

Joinville, Santa Catarina, Brasil

Leading the research and development of Artificial Intelligence products. • NIA – architecture, research and product development; • ITSM ticket analysis using generative artificial intelligence; • Conducted demand forecasting research; • Supervised junior data scientists; Use of: • Machine Learning Algorithms, Generative AI, Vector Databases, RAG; • Python, Pandas, NumPy, FastAPI, Scikit-learn, Statsmodels, LangChain, LLM; • Databricks, Cosmos Mongo DB, Atlas DB, Chroma DB; • Matplotlib, Plotly, Seaborn, Jupyter notebook; • Azure cloud, Docker, Podman, Azure OpenAI; • GitLab, Azure DevOps;

Southfield, Michigan, United States

Research and Development of Artificial Intelligence products. • Combinatorial optimization apllied to industry; • Regulatory impact analysis in the industry; • Generative artificial intelligence applied in analytics; Use of: • Optimization Algorithms, Machine Learning, Generative AI, Vector Databases; • Python, Pandas, NumPy, Flask, Scikit-learn, Statsmodels, LangChain, LLM; • SQLAlchemy, Alembic, SQL Server, Oracle PL/SQL, Databricks, Pinecone; • Matplotlib, Plotly, Seaborn, Jupyter notebook; • Azure cloud, Docker, Kubernetes, OpenAI; • GitHub, Jira;

Blumenau, Santa Catarina, Brasil

Research and Development of analytics products for Henry Schein.. • Demand forecast solution for two Henry Schein companies; • Customer profile analysis; • Customer clustering analysis; • Purchase forecast by channel; • Market basket analysis by customer profile; • Outlier prediction in data pipelines; Use of: • Statistical modeling, Machine Learning, Deep Learning; • Python, Pandas, NumPy, Scikit-learn, Statsmodels, Scipy, Orange; • Matplotlib, Plotly, Seaborn, Jupyter notebook, Streamlit; • Azure cloud, ML Studio, Blob Storage, Web Apps, Docker; • PostgreSQL, SQL Server, Synapse; • GitHub, Trello, Jira;

Blumenau E Região, Brasil

Analyze and implement integrations, improvements, diagnoses and fixes in the EMR system Tasy. • Tasy integration project SMART; • Tasy integration project Rede D’or STAR; Use of: • Java, JavaScript, Angular, Delphi; • Philips Schematics; • PL/SQL; • GitHub, Philips Tasy;

Dracena, São Paulo, Brasil

Manage, budget, design, project, implement new features and fix codes and systems. • Maintenance of e-commerce in PHP Laravel; • Maintenance of sales management desktop system in Delphi; Use of: • PHP, Laravel, Python, Java, C++ e Delphi/Pascal; • HTML, CSS, JavaScript, Bootstrap, jQuery; • MySQL, Firebird; • GitHub, BitBucket, Trello;

Três Lagoas, Mato Grosso Do Sul, Brasil

Analyze, design, project and implement new features into a web system for the automation of law firms.Use of Laravel-PHP, Materialize, jQuery and MySQL.

Três Lagoas, Mato Grosso Do Sul, Brasil

Development of a system for Web and Android platforms, for mapping areas at risk of rape in the municipality.Use of Laravel-PHP, Materialize, jQuery, MySQL, Android Studio and Java.

Specialization, Machine Learning

Build ML models with NumPy & scikit-learn, build & train supervised models for prediction & binary classification tasks (linear, logistic.

Postgraduate Certificate, Artificial Intelligence

Final Paper: Case Study Applying Machine Learning to Predict Stock Variation Based on Fundamental Indicators. Ability to analyze the state.

Bachelor Of Technology - Btech, Software Engineering

Final paper: Implementation of Artificial Intelligence Techniques for the Prediction of Notes in Melodies. The professional graduated.

Technical, Information Technology