Michael Scott

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

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.

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

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.