About Me
My name is Michael Pantoja and I currently work as a Quantitative Analyst
at a large scale school district. Before this, I have had over four years of experience with
Python driven data analysis. When it comes to personal projects, I tend to focus on topics
that I personally find interesting and exciting such as video games, basketball, and chess to name a few!
With that being said, I am always open to learn about basically anything and am always willing to
look at some data!
Thank you for stopping by and I hope you enjoy your stay!
Services
Machine Learning
I believe that Machine Learning is essential when it comes to data analysis. Being able to use historic information in an attempt to predict the future is one of my favorite concepts. It is for that reason that I enjoy the Machine Learning and Deep Learning process and try to implement them whenever I can!
Data Analysis
I believe that numbers are able to expand beyond symbols and enter the realm of storytelling. With each dataset there are stories and plots embedded within. I enjoy sifting through data trying to pull that very story out.
Data Visualization
Some of the best stories are those that are able to leave impactful images in our mind. For that reason I believe that being able to visualize the results pulled together from data analysis is a needed aspect when trying to convey information to a wider audience.
Featured Project
Algebr.io
Linear algebra is one of the most quintessential skills that every data analyst should know. It is for this reason that I have created Algebr.io. This is the place for someone to experience linear algebra in a way that relies heavily on visualizations to help solidify the concepts.
Portfolio
Estimating Pi Using A Dartboard
It seems like Pi is everywhere! No matter where we look, we can't escape it! In this quick demonstration, we will take a look at an interesting way to estimate Pi using a standard darboard. Thanks Monte Carlo!
Introduction to Support Vector Machines
Support Vector Machines (SVM's) are in my opinion, one of the most machine learning models out there. In this Jupyter Notebook, we'll take a look and see at what makes SVM's such amazing works of brilliance!
The Percet Cake (According to AI)
If you were to ask 100 different people how they preferred to bake a cake, you would get 100 different answers. Everyone likes to believe that their version is the best version there is. In this project, we'll use artifiical intelligence to try to create one perfect recipe.
Natural Disasters Data Analysis
Natural Disasters are very difficult to predict even though they so frequently. In this notebook, I extensively walk through different methods on how someone might go about organizing and analyzing their data using real world natural disaster data as the primary driver.