Alexandre Shimono

As part of the Data Analyst Udacity's nanodegree program, I completed an exploratory data analysis project concerning the foreigners entering brazil.

The source code, in R language, is available in Github, and the final report was also posted as a series of blog posts in the following links:

• blog.weblogiko.com/2018/02/foreign-visitors-in-brazil-2005-to-2015.html
• blog.weblogiko.com/2018/02/foreign-visitors-in-brazil-2005-to-2015_17.html
• blog.weblogiko.com/2018/02/foreign-visitors-in-brazil-2005-to-2015_20.html

The Oxford Flower Kaggle Competition is a skills-based competition that aims to promote and deepen data science.

This is the code used in the competition for flower species classification based on images.

I ranked #74 in my only attempt; the results are available here:
• www.kaggle.com/c/oxford-102-flower-pytorch/leaderboard

The final project for Udacity's Intermediate Python Nanodegree comprised a Flask app that reads a base of NEO (near earth objects) from a file and makes them available for queries.

The project structure is pretty straightforward, and the code quality was one of the main valuated factors.

The Node.js Accelerator is an exclusive learning program that educates JavaScript back-end developers in Node.js, Express.js, NestJS, and TypeScript. This is a 2-month program that consists of rigorous learning exercises, live instructor-led sessions by SMEs, hands-on activities, a stringent evaluation process, comprehensive assessments, and an incremental project where participants implement a couple of microservices (REST APIs) using Express.js and NestJs. The incremental project simulates an eCommerce application consisting of two services, i.e., a user service to implement the authentication with user management and a product-catalog service that offers functionalities to manage inventory.