Luana Peres
Data Scientist
Brazil
Summary
👤
Senior🎓
Top SchoolLuana Peres is a Data Scientist with eight years of experience applying machine learning to apparel e-commerce, and a strong academic foundation with a PhD in Chemical Engineering and research stints in polymer nanotechnology. She has delivered end-to-end ML solutions at Snap Inc., including CNN-based object detection and metric-learning recommenders, and fine-tuned generative models for virtual try-on at Tramma AI. At Fit Analytics she built ETL pipelines and semi-automated BI to link product performance to sales and returns, demonstrating a pragmatic focus on business impact. Her background in experimental research and polymer synthesis gives her a unique edge in rigorous experimentation and feature engineering for visual and size-recommendation problems. Currently based in Brazil, she combines deep technical modeling skills with production deployment experience and a track record of moving prototypes into live e-commerce systems. Notably, her profile reflects a transition from lab-driven research to scalable, consumer-facing ML in fashion tech.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Chemical Engineering, Doctor of Philosophy - PhD Chemical Engineering at Universidade Federal de Santa CatarinaDoctor of Philosophy - PhD Nanotechnology, Doctor of Philosophy - PhD Nanotechnology at Max Planck Institute for Polymer Research
English, Portuguese, GermanGithub contributions (5)
lubepe/HousePrices_KaggleCompetition
Aug 2018 - Sep 2018
Contributions:29 commits, 18 pushes, 1 branch in 1 month
lubepe/PredictingFlightDelays
Dec 2018 - Mar 2019
Contributions:13 pushes, 3 branches in 2 months
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