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Hola! I'm Nicolas 👋

I'm a data scientist and maker currently based in London, UK. I'm interested in building products that solve real-world problems, can work for everyone, and make sense in the community they designed for. Outside of work, I enjoy spending time with my lovely wife, playing sports, and travelling. I’m also a River Plate’s fan, a food lover, and an avid 🧉  drinker.

  • 🔭  I’m currently working as a senior data scientist at AWS
  • 🌱  I’m currently learning about front-end web development and all things transformers
  • 👯  I’m looking to collaborate on open source projects, "make the world a better place" ideas, and just fun conversations around tech and the world
  • 💬  Ask me about MLOps, how to pivot your career to data science, or anything ML related
  • ⚡  Fun fact: I love trains so going from Beijing to Moscow via Ulaanbaatar on the Trans-Siberian was one of the best journeys I've made 🚂

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Nicolás Metallo's Projects

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

car-damage-detector icon car-damage-detector

Detect dents and scratches in cars. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow.

cs231n-solutions icon cs231n-solutions

Solutions to the Spring 2017 assignments for CS231n: Convolutional Neural Networks for Visual Recognition

eameo-faceswap-generator icon eameo-faceswap-generator

I put together this simple script that switch faces between two input images to generate quick 'Eameo'-type memes.

emotion_and_gender_detection icon emotion_and_gender_detection

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

sentiment-analysis-yelp-dataset icon sentiment-analysis-yelp-dataset

Technical report of our presentation Yelp: “Startup Survival Kit”. All necessary R files are attached along with a brief explanation in this file. NYU Business Analytics 2016 Course

textcaps icon textcaps

Official Implementation of "Textcaps: Handwritten Character Recognition With Very Small Datasets" (WACV 2019).

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