Senior Developer - Deep Learning/Machine Learning/AI Advocate @ IBM (2019 - present)

  • Working @ CODAIT

  • Democratize AI by building tools, launching new open source projects, and improving existing core open source frameworks

Lead Data Scientist @ SelfScore (2017)

  • Developed solutions to automate reports and key metrics through Shiny web dashboards, R scripts and Dropbox
  • Designed, maintained and managed data pipelines using Amazon Redshift, R and Jenkins
  • End-to-end planning and management of data science projects towards timely and desired outcomes

Data Scientist @ Sharethrough (2015 - 2017)

Optimization Team / Exchange Team

  • Developed and built algorithms on floor recommendations that increased Publisher’s revenue by 20%
  • Worked closely with software engineers to create an automated process and an experimentation framework.
  • The only Data Scientist in the company
  • Design and develop click prediction models and algorithms.
  • Developed price floor recommendations.
  • Worked with 100GB+/day using tools such as Spark and H2O.
  • Built data science pipeline using Spark (PySpark) - from raw logs to data ready to model.
  • Built framework, design, and analysis of experiments.

Lead Data Scientist @ Alpine Data (2013 - 2015)

  • Lead a team of 5 Data Scientist
  • Worked on pre and post-sales engagements with several clients including Finance, Healthcare, Advertising, etc.
  • Created the appropriate analytics workflows that best deliver relevant insights and predictive models for a client applying techniques such as machine learning and statistical analysis to deliver business value.
  • Write documentation and Knowledge Repo
  • Train customer teams on best practices for data analysis/modelling within Alpine’s software

Teaching Assistant @ SFSU (2012)

Course: Information Design (Instructor: Pino Trogu)

  • Taught designers on how to pre-process and visualize data with R for sketching and development, and Illustrator for cleaning up and finalizing the visualization (Textbook: “Visualize This” by Nathan Yau)

Statistician (Research) @ UERJ (2007 - 2011)


  • Epi-R :a graphic user interface oriented to epidemiological data analysis

Private Tutor (2000 – 2009)

  • Taught high-school on Math, Physics and Chemistry

Music Executive Producer (2001 - 2004)

  • Press Office/Sponsorship/Accounting

Singer: Thais Gulin 📹

Bands: Liquidificalouca 📹 & Paula Leal