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Name: Nil Andreu

Type: User

Company: @BackMarket

Bio: I am a software engineer with interests in corporate applications and machine learning.

Location: Barcelona, Spain

Hello World 👋

I am Nil Andreu, Machine Learning Engineer & student of Data Science & ML in University of Barcelona.

🔭 What I'm currently using in application development is HTML, CSS (Grid, Flexbox, Bootstrap & Sass), JavaScript & TypeScript (with React, Three & gsap), SQL, Python (FastAPI, Flask, Django & Django Rest Framework) & Golang (Gin).

👯 For data science I have experience working with statsmodels, Pandas, scikit-learn, PyTorch (including PyTorch Lightning), Tensorflow & Keras.

🌱 In insfrastructure, have used Docker, Kubernetes, Terraform in Google Cloud & AWS.

👨‍💻 My actual statistics in GitHub:

⚡ Some of my relevant contributions to Open Source:

OpenAssistant (33k Stars): worked in NLP for the messages classification regarding its toxicity & creation of embeddings message for clustering/similarity. Done with FastAPI, alembic, asyncio & HuggingFace.
Auto-Deep-Learning (11k Downloads): library I created with the aim of auto-creating, based on the data, the architecture of a neural network for multi-modal image classification, as well as train, test & deploy. Done with PyTorch & HuggingFace.
Postgres-Backup (12k Downloads): have cross-cloud provider & cross-region backups with this library for automating the creation & upload of PostgreSQL backups to AWS & GCS. Done with boto3 & google-cloud-storage.

📫 How to reach me: [email protected]

Nil Andreu's Projects

amazon-category-prediction

Prediction of which is the category of products based on their Amazon features.

article-project

Doing this article app I will be using the Django REST Framework for building a REST API and React.js for building the front-end.

ba-sprint2

Sprint 2 exercises

ba-sprint3

The exercises for the third spring in Barcelona Activa

ba-sprint4

ba-sprint5

For the exercises of the 5th sprint in barcelona activa.

ba-sprint7

In this sprint, I will have an introduction to React

ba-sprint8

For the exercises for the sprint number 8. I have learnt about DevTools, class-and-funcional components, Hooks and React Profiler.

ba-sprint9

For this weeks, i will be creating an applcication that fetches data of Star Wars with Axios in React.

backend_forecasting-app

The backend developed in Golang Gin for the Forecasting App

barcelona-activa

Here you can see the exercises for each sprint in the course of specialization in front-end with React.js of Barcelona Activa.

clone-apps

This is where I will put all the clones I have developed

cs50webdevelopment

I am going to show the different exercises for the course of Harvard on EDX of CS50: Web Development with Python and JavaScript

deep-learning

This are the deep learning submissions I have to make in the course.

disney-clone

dr-ecommerce

In this repository I will build a Django & React ecommerce

ecommerce-fastapi

fastapi-crud-async

FastAPI CRUD

fastapi-production-boilerplate

A FastApi Boilerplate for Production

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

forecasting-app

forecasting_forecasting-app

Forecasting Service for the Forecasting App

git-exercici

golang-cooking-app

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

housingprices

Using Scikit-Learn to study the data about the prices of houses to predict the price of them

injestion_forecasting-app

Injestion Service for the Forecasting App

leads-manager

I am going to create an app that will handle the leads

learn-react

learning-object-oriented-python

This repository walks you through the Object Oriented Programming in python. Illustrates real world examples, working codes and going about finding a coding solution.

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