Data Science Foundation:- Metodologia CRISP-DM- Fluxo de Trabalho- Análise de Curva ROC- Fluxo de Treinamento de Algoritmos- Viés Forte e Viés FracoApplied Statistics:- Noções sobre Amostragem- Processo inferencial (Clássica e Bayesiana)- Regressão Linear- Correlação e Associação- Distribuição de Dados e Amostras- Experimentos Estatísticos e Teste de Significância- Análise de Séries Temporais Natural Language Processing:- Processamento de Linguagem Natural- Extração de Recursos- Modelagem de Tópicos- IBM Watson- Google Dialogflow Conversational UX Design: - UX Design- Interfaces Baseadas em Linguagem Natural- Human Center Design- Bot Service Design- PersonificaçãoBig Data e Business AnalyticsData Science e Data ArchitectureData Exploratory AnalysisData Science e Data Engineering

Courses: Algorithms, Data Structure, Artificial Intelligence.

Highlights: - NLP development: Feedback categorization dashboard and customer sentiment analysis. - Data lake automation: Automatic updates from data in servers (MySQL/PostgreSQL/MongoDB/APIs) to the data lake with ETLTools & Skills: - Statistics and Data Analysis - Business Insights (Areas: Product, CX, Finances, Ops, Stakeholders) - ETL - Python, SQL, AWS Glue, AWS Athena - Data Lake update - AWS S3 - Process and data Automation - PythonUse of NLP tools such as Spacy, NLTK, Hugging Face, and Transformers, and ML and descriptive statistics tools such as Sklearn, Numpy, Matplotlib, among others.Expertise in the field of Customer Experience.

Highlights: - NLP development: information retrieval sentiment analysis.- WebscrapingTools & Skills: - Statistics and Data Analysis - ETL - Python, SQL, AWS Glue, AWS Athena - Data Lake update - AWS S3 - Process and data Automation - PythonUse of NLP tools such as Spacy, NLTK, Hugging Face, and Transformers, and ML and descriptive statistics tools such as Sklearn, Numpy, Matplotlib, among others.