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Hi 👋, I'm Roy

A passionate Data Scientist from Peru 🇵🇪

  • 🔭 I’m currently working on Matu, a team project. Matu is a tour package centralizer to facilitate tourists to have the best experience and agencies to offer their services just in one place... The web platform is being developed with the django framework and is currently under construction...The web platform is being developed with the django framework and is currently under construction...

  • 💬 Ask me about Data Engineering, Data Scientist, Machine Learning and all about Python

  • 📫 How to reach me [email protected] | [email protected]

  • 📌 You can also visit my secondary github repository to fin more projects that I'm developing on roquidev

Blogs posts

Connect with me:

royquillca royquillca @royquillca @roquidev

Languages and Tools:

docker figma firebase git javascript linux mongodb mysql pandas postgresql python scikit_learn seaborn tensorflow

royquillca

 royquillca

Roy Quillca's Projects

aws icon aws

This repository consists of useful links for study materials for those aspiring carrer in AWS

cinemind icon cinemind

Extraccion y transformacion de datos para construir una API con consultas requeridos del negocio.

clusterai_2022 icon clusterai_2022

Curso de Ciencia de Datos, ingenieria industrial, Universidad Tecnologica Nacional

computerscience_uni icon computerscience_uni

Courses and projects developed in the Bachelor in Computer Science program at UNI (National University of Engineering).

cookiecutter-data-science icon cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

cookiecutter-ds icon cookiecutter-ds

A powerful and user-friendly Cookiecutter template for Data Science projects.

datos_geoespaciales_python icon datos_geoespaciales_python

Material taller "Introducción al Análisis de Datos Geoespaciales con Python" realizado en PyDay Valparaíso (15-07-2022).

handson-ml2 icon 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.

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