Hey! My name is Mark JP Sanchez and I am Data Science and Computer Science student at the University of Toronto.
I have studied and worked with Neural Networks, Machine Learning, Parallel Programming, Data Analysis and Linux. For tech-stack, I have worked with Python (NumPy, PyTorch, Tensorflow), C/C++ (OpenMP, MPI), AWS (Amplify, EC2) and JavaScript (NextJS, React, Node).
Thank you for checking out my site and hope you enjoy your stay!
Featured Projects
Work Experience
Energy Trader - Dynasty Power Inc. (May 2022 - August 2023)
- Tagged and bid energy and transmission rights
- Developed and scheduled scripts which scraped data off of public resources and stored info into company databases
- Developed tools using VBA, Python, and R which allowed traders to easily look at desired data and statistics in real time
- Made automated daily scripts which sent emails about current market conditions
- Produced machine learning models to predict energy and gas prices
STATA Developer - University Health Network [KHERG] (September 2020 - Present)
- Developed machine learning model using Random Forest regressor, Support Vector regressor, Gradient Boosted regressor and Naive Bayes regressor to improve dynamic questionnaire algorithm by reducing the amount of questions asked on average
- Assisted researchers with statistical tools and developed scripts for analysis such as model selection under multiple imputation
- Monitored and maintained the processes surrounding the data and ensure there weren't any problems in the dataset
Software Engineer Intern - PointClickCare (July 2019 - August 2019)
- Developed a mobile financial analytics app that visualized financial data for health industry providers using React Native
- Authenticated users, worked with DevOps, developed tests and pitched to C-level officers in the company
Recent Blog Posts
What Are and How To Create (Prediction vs. Confidence vs. Tolerance) Intervals
May 30 2022
Creating "prediction intervals" is its own art and not all processes are made equal. In this article we will go through explaining what confidence, prediction and tolerance intervals are, the differences between them and how to create them.
Why I Chose Stocks over Crypto
March 26 2022
Choosing which asset class to invest in is difficult so I go through my own personal discoveries and reasonings as to why I prefer stocks.
Interview With AI Researcher: How to become one and what do they do
March 15 2022
I interview a Principal AI Researcher to see what he does on a day to day basis and what I need to do to if I ever want to become one.