About me

Hello! I'm Michael Scott.

I received my B.S. in Computer Science at Pepperdine University and am now in the process of applying to law school.

Work Experience

Here's a list of the places I've most recently worked at!

Data Specialist

  • Conducted the recruitment of 200+ students to provide notes for students with disabilities
  • Implemented new JavaScript functions in primary Google Sheet to maximize efficiency and accuracy

Speech Lab Tutor

  • Evaluated and critiqued speeches of 30+ students
  • Communicated with students one on one in order to better understand their speech and help improve their delivery

Volunteer Experience

Here's a list of the places I've most recently volunteered at!

Pepperdine Human-Centered AI Conference Volunteer

(October 2021)
  • Facilitated the check-in and registration of 100+ attendees at Pepperdine’s first Human-Centered AI conference.
  • Presented with Dr. Fabien Scalzo to Pepperdine’s Board of Regents Academic Affairs Committee to report the success of the conference.

Vice President of Service

(May 2020 - January 2021)
  • Demonstrated problem-solving ability by coordinating service opportunities for a 40+ student chapter to grow the fraternity’s community presence during the COVID-19 pandemic.

Pepperdine Shanghai Social Chair

(January 2020 - May 2020)
  • Organized social opportunities for a 50+ student cohort off-campus to further develop and enhance relationships among the students.


Here's a list of the projects I've made!

Anime Recommender

  • Developed a supervised recommender system using a Kaggle dataset with ratings from 325,000+ users to achieve a RMSE of 1.1 on a 5-point Likert scale by utilizing Singular Value Decomposition as the prediction algorithm.

Chick-Fil-A Nutrition and Allergen Dataset

  • Scraped Chick-fil-A’s website with Pandas to provide the Kaggle community with an up-to-date nutrition dataset.

OpenSea Asset Monitor

  • Created a Twitter bot in Python using OpenSea and Twitter’s APIs to send a direct message to me and my friend’s Twitter accounts whenever a significant price change is detected
  • Monitored 20+ OpenSea assets which helped bring in $2500+ in profits to me and my companions


Here's the research I've done!

An Analysis of Pre-Trained CNNs for Diabetic Retinopathy Detection

  • Researched the performance of multiple image classification models used to detect Diabetic Retinopathy
  • Developed image preprocessing skills that helped provide a greater understanding of how best to prepare image data

Automatic Classication of Plant Cell Types

  • Classified 9 different plant cells with scikit-learn’s supervised classification models and ResNet-18.
  • Improved dataset by transforming images using PIL and created additional data with Keras’ Image Data Generator.

Contact me

Feel free to reach out to me and I'll get back to you as soon as I can!

  • mpscott0306@gmail.com
  • www.linkedin.com/in/michaelscott0