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Andrew Sanchez

Software Engineer

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About Me

Welcome! đź‘‹


I'm Andrew Sanchez, a passionate individual about Computer Science and Software Development. I grew up Hollister, CA and majored in Computer Science at California State University, Monterey Bay (CSUMB). I enjoyed my time at CSUMB as it gave me foundational CS skills to dive into new technologies. Today you can find me learning about new technologies, playing video games, and hanging out with my dog Luci.

Favorite Tech

JavaScript

The language of the web. JavaScript was one of the first languages that I grew to love.

Git

I was first introduced into Git while in college. It was here that I realized Git makes everything easier when it comes to project collabration.

React

React was the first JavaScript library I picked up and learned. React gives developers the power to create fast and powerful single page applications.

Machine Learning

My capstone project involved creating a Machine Learning chatbot, it was here that I learned how powerful and essential ML really is.

Node.JS

My goto for creating backend Services. With multitude of libraries to pair with, Node.js makes backend development a breeze.

Heroku

Heroku was the first platform I ever used to deploy an application. Herokus CLI tools made it easy to deploy applications and best of all it was free to host my apps.

Experience

Sparrow Insight

Web Developer

Carmel, CA

  • Engineered client landing page and 4 supporting views utilizing JavaScript, HTML5, and CSS3, enhancing clients online presence by 2X.
  • Developed landing page and online store for local winery using SimplyCMS web tools to increase clients sales by more than 200%.
  • Integrated Stripe API into coffee roastery web platform to support online sales utilizing JavaScript and HTML5.
  • Analyzed and assessed network infrastructure using networking toolkits; Redesigned and deployed new network hardware leading to 40% increase in client connectivity.

Education

California State University, Monterey Bay

August 2016 - May 2018

Seaside, California

Gavilan College

January 2014 - May 2016

Gilroy, California

Check out my previous projects

Firebase Project Manager

Simple project management application that is built with React, Redux, and Firebase. Application has authentication to allow users to login and create accounts. Users can create projects with title and add information about their project. Notifications area to show new users and new projects added. Project deployed with Google hosting.

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React Image Search

Image searching application. With the search bar, user can checkout pictures or find high quality res images from Unsplash. Once search is complete user is returned 10 tiles with images and their respected description. This application was built using React and uses the Unsplash API to retrieve free high res photos.

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Vue Todo List

Front-End web application built using Vue. The application is centered around a simple "ToDo" list that allows the user to create and delete tasks. Application already comes with 3 sample tasks that is retrieved from JSONPlaceholder.typicode.com/ to simulate communication to a backend service.

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Concentration Cards

Front-End web game/application built using React. Game starts with all cards faced down with the objective of matching each card to a similar value. Utilized DeckOfCards API to retrieve a shuffled deck.

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SmartBrain

Full-Stack web application that uses technologies React.JS, Express, PostgreSQL, and Node.JS. First designed the front-end with mockups and then built as React components. Back-end built as ReSTful API using Express and Node.js. Implemented a PostgreSQL database to be utilized for CRUD operations.

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Insurance Chatbot

With a team designed, built, test, and refine a Amazon Web Services chatbot. Intents are designed around frequently asked questions such as “how can I pay my bill”, “when is my bill due”, and “what is my premium”. Amazon Lamda functions are then used to validate intent and respond appropriately.

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Video Game Sales Prediction

Project centered around learning Machine Learning algorithms and applying them to data. Our goal was to predict video games sales off data collected in the past 15 years. Machine Learning algorithms used Linear Regression, Regression Trees, and Logistic Regression.

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Skills

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