Summary
Felipe Sembay is a Data Scientist with 8 years of multidisciplinary experience combining machine learning, automation, and financial analysis across startups and corporate environments in Paraná, Brazil. He has driven measurable impact—most notably building a RAG-based HR chatbot that cut support tickets by 85% and saved an estimated R$10k/month in labor. Felipe mixes hands-on engineering (ETLs, PostgreSQL, Streamlit, embeddings) with product-focused prototyping of LLMs and automation bots, routinely shaving hours from operational processes. His background in economics and production engineering lets him bridge business metrics and technical solutions, from churn and revenue analytics to trading automation. He also creates educational content on Python, markets and ML through his YouTube channel "Dados e Trades," reflecting a strong communicator mindset. Beyond models and dashboards, he leverages real-world financial experience to design pragmatic, risk-aware data products.
8 years of coding experience
5 years of employment as a software developer
Engenharia de Produção, Engenharia de Produção, Engenharia de Produção, Engenharia de Produção at Unicesumar
Ciências Econômicas, Bacharel, Ciências Econômicas, Bacharel at Universidade Estadual do Centro-Oeste
Portuguese, English, Spanish