Summary
Pedro Russo is a Data Science Specialist with 11 years of experience applying computational biology, machine learning and statistical methods to healthcare and industry problems. With a PhD in Bioinformatics from Universidade de São Paulo, he developed CEMiTool for gene co-expression analysis (available via Bioconductor) and built reproducible R pipelines that bridge research and production. At Grupo Fleury he deployed ML and NLP solutions for clinical classification, revenue forecasting and a DTC genetic testing pipeline, and now focuses on process optimization and data literacy at Bayer. Comfortable in R and Python and experienced with AWS-based pipelines, he combines deep domain knowledge in systems biology with pragmatic product delivery. A less obvious strength is his track record of turning laborious manual workflows into automated tools—from iMacros and Access automations to full analytics pipelines—boosting reproducibility and operational efficiency.
11 years of coding experience
2 years of employment as a software developer
Data Science Degree, Data Science, Data Science Degree, Data Science at Let's Code
Non-Degree Student, Biology, Non-Degree Student, Biology at Rensselaer Polytechnic Institute
University of São Paulo
Bachelor's Degree, Biotechnology, Bachelor's Degree, Biotechnology at Universidade Federal de São Carlos
English, Spanish, Portuguese, Japanese