Fernanda Wanderley
Senior Data Scientist
Rio de Janeiro, Brazil
Summary
👤
Senior🎓
Top SchoolFernanda Wanderley is a Senior Data Scientist with over seven years of industry experience and a long-standing academic background in computational intelligence, neural networks and evolutionary computation dating back to 2004. She has a strong track record applying deep learning to genomics and medical imaging—building a production TensorFlow model for mutation classification at Mendelics and helping develop ML tools for radiology as an early team member at NeuralMed. Comfortable bridging research and product, she has published work from a research visit to ESIEE-Paris and taught AI topics at UFRJ, bringing both theoretical depth and practical deployment experience. A quick self-learner who picked up Go during model integration and who was selected for the TensorFlow Dev Summit from thousands of applicants, she thrives in collaborative teams that translate novel algorithms into real-world healthcare impact.
7 years of coding experience
Mestrado Inteligência Artificial, Mestrado Inteligência Artificial at Universidade Federal do Rio de JaneiroDoutorado Inteligência Computacional, Doutorado Inteligência Computacional at Universidade Federal de Minas GeraisPesquisador visitante Inteligência Computacional, Pesquisador visitante Inteligência Computacional at ESIEE PARIS
Github Skills (14)
keras-neural-networks10
mnist10
machine-learning8
pytorch8
keras8
python8
tensorflow7
data-science7
deep-learning7
neural-network5
generative-adversarial-network4
jax4
stability3
progressive2
Programming languages (1)
Github contributions (5)
nandaw/qcon_notebook
May 2019 - May 2022
Contributions:4 commits, 3 pushes, 1 branch in 3 years
neuralmed/senet-keras
Sep 2019 - Sep 2019
Naive implementation of SENet in Keras
Contributions:37 pushes in 14 days
senetkeras-modelsdeep-learningtheanoneural-networks
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