Passion for Developing Data-Driven, Full-Stack Applications
My name is Michael Toriello, and I am an Electrical and Computer Engineer based in Jersey City, NJ eager to transition my talents towards exploiting the value of big-data through advanced analytics and visualizations. With 3 years of experience in the telecom industry as an engineer, I understand the importance of translating data into an insightful and interactive experience to uncover new opportunities.
Please check out some of my latest work (including this page) in the following links:
Interactive Cluster Map of Global Terroristic Attacks from 1970-2017
The Artilyzer: A Visualization of your favorite musician's styles and attributes
I started my professional career out of Rutgers University in New Brunswick, NJ with a Bachelor's Degree in Electrical and Computer Engineering. Having interned at Verizon Wireless in Tempe, AZ I decided to pursue a Network Engineering opportunity with Nokia. Throughout my 3 years as a Network Engineer I became a subject matter expert traveling to Verizon offices to leverage performance/simulation data and design antenna tower modification to impove the user experience.
As of mid 2017, I have decided to move forward with my career and explore more challenging and innovative territories. In my previous work, I developed a big fascination with big data and how that data is portrayed through the modern toolkit. I started self-teaching myself the basics of Python and building applications. Soon my fascination became my passion and I began gathering datasets though API calls and creating simple Machine Learning models.
I felt at this point I needed some proper guidance in Data Science and Software Engineering, and so I dedicated 6 months to join the Rutgers Data Science Bootcamp. This program is geared towards working professionals to gain the Data Science and Development skills needed to become a professional in big-data. Here is the curriculum for the course.
Since starting this course, I have spent numerous hours constructing passionate personal projects. As a project for class, I collaborated with a couple classmates to create a Interactive Cluster Map of Global Terroristic Attacks from 1970-2017. This project uses public government data to display markers with hover-text for every attack by year. We used the Python framework flask on the backend with front-end libraries D3.js, charts.js, and leaflet.js. We also used a MongoDB hosted by MLab to store and retrieve datasets.
On my own personal time, I have created The Artilyzer: A Visualization of your favorite musician's styles and attributes. I consider myself a music enthusiast, and I always appreciate when musicians are able to explore new sounds and different genres. My goal was to create a visual experience to describe how diverse an artist is using data from Spotify's Web API. My program allows a user to search for any artist, and it displays graphs depicting danceability, energy, valence (if music is happy/sad), and other attributes such as most common tempo, and key signature.
Thank you for taking an interest to learn about my career and recent work. I am always developing and am always happy to collaborate on new projects. Please feel free to contact me by email at email@example.com if you would like to get in touch.