Summary
Haylton Bernardes is a Senior Data Scientist and technical leader with six-plus years delivering end-to-end ML pipelines across healthcare and FMCG, currently building predictive and preventive analytics at NotreDame Intermédica in London. He blends strong statistical foundations with hands-on expertise in Python, PySpark, SQL/NoSQL, cloud platforms and ML tooling (Databricks, MLflow), shipping time series, regression, classification and clustering solutions into production. At Unilever and Grant Thornton he led forecasting, churn and cross-sell efforts at CNPJ granularity, guiding teams as a code reviewer and technical lead. He has a formal background in engineering and specialized postgraduate training in AI & Big Data, and a habit of reusing frameworks to accelerate model reuse and deployment across business domains. Notably comfortable with unstructured data, Haylton has produced image, text and voice mining applications that bridge technical models to business stakeholders.
6 years of coding experience
4 years of employment as a software developer
Fédération Internationale de l'Art Photographique
Postgraduate Degree, Artificial Intelligence & Big Data, Postgraduate Degree, Artificial Intelligence & Big Data at Universidade São Judas Tadeu
Bachelor of Engineering, Civil Engineering, 3.87/4, Bachelor of Engineering, Civil Engineering, 3.87/4 at Universidade Paulista
Spanish, English, Portuguese