Wecsley Prates is a Senior Data Scientist with 10 years of experience applying advanced ML, causal attribution, and experimentation techniques to improve marketing and product outcomes across finance, insurance, and enterprise software. He has built scalable solutions on AWS, GCP, Azure and Databricks, automating campaign attribution and performance reporting to accelerate decision-making and lift marketing ROI. His work spans MTAs, MMMs, LLMs and generative AI—highlighted by an LLM-based customer service chatbot and a novel Markov-chain attribution model that reallocated budgets and revealed underperforming channels. A former tenured statistics professor with a PhD, he blends rigorous academic research in stochastic processes and time series with hands-on production ML, often translating complex models into dashboards and automation that stakeholders actually use. Based in Florida, he frequently moves between research-grade experiments and deployable systems, driving measurable business impact like double-digit revenue and profit improvements in past roles.
9 years of coding experience
13 years of employment as a software developer
Bachelor of Statistics Statistics, Bachelor of Statistics Statistics at Universidade Federal da Bahia
PhD in Statistics Probability and Inference in Stochastics Processes, PhD in Statistics Probability and Inference in Stochastics Processes at Universidade Federal de Minas Gerais
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.