Guilherme Salome
Senior Advisor - Data Science
Florida, United States
Summary
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Senior🎓
Top SchoolGuilherme Salome is a Senior Advisor in Data Science at Eli Lilly with 11 years of experience translating advanced statistical and machine learning methods into measurable commercial impact. He leads teams that build real-time Dynamic Targeting systems and has driven Marketing Mix Modeling and experimentation programs that influenced over $1B in spend and delivered tens of millions in savings and revenue. A Duke PhD in Economics with a strong math background, he couples rigorous causal inference and econometric training with pragmatic engineering—authoring reproducible frameworks and automation pipelines used across his organization. He contributes to open-source tooling (notably improving the popular pytrends library) and brings a relentless work ethic focused on long-term effort and robust, business-centered solutions.
11 years of coding experience
2 years of employment as a software developer
Bacharel em Economia, Economics, Bacharel em Economia, Economics at Insper Instituto de Ensino e PesquisaDoctor of Philosophy (PhD), Economics, Doctor of Philosophy (PhD), Economics at Duke UniversityFull Stack Web Development Certification, Computer Software Engineering, Full Stack Web Development Certification, Computer Software Engineering at freeCodeCampMaster of Mathematics, Mathematical Economics, Master of Mathematics, Mathematical Economics at IMPA
Stackoverflow
1,929reputation
297kreached
15answers
36questions
Github Skills (12)
pandas10
python10
apidoc9
api9
error-handling9
data-analysis8
nodejs6
macos6
curl6
hierarchical6
box-api6
multi-index6
Programming languages (9)
Github contributions (5)
GeneralMills/pytrends
Jan 2019 - Feb 2019
Pseudo API for Google Trends
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 1 PR, 3 comments in 21 days
Contributions summary:Guilherme significantly improved the `pytrends` library by refactoring the daily data retrieval function, `get_historical_daily_interest`. They converted a script into a reusable function, implemented input validation, and ensured PEP8 compliance. Further enhancements included adding a verbose option and validating the keyword list, indicating a focus on usability and robustness. Major revisions involved refactoring the daily data retrieval process, implementing a new approach for scaling the data using monthly data, and introducing error handling to prevent issues when fetching data from Google Trends.
pseudoapigoogle-trendstrends
Salompas/emacs.d
Aug 2018 - Jun 2020
Contributions:22 pushes, 1 branch in 1 year 10 months
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