Trained, tuned, and tested gradient tree boosting models in R with XGBoost to predict pleiotropy in maize

Computed similarity between predicted and ATAC-seq accessibility

Developed Android app for use in fieldwork

Develop materials for and teach triweekly section to 60 students, reviewing algorithms and models relevant to computational biology

Hold weekly office hours, helping students understand statistical theory and algorithms

Grade biweekly homework assignments with theory and programming exercises

Created ticket digester to process and visualize customer ticket data, identifying opportunities for improvement in handling ~100 tickets weekly

Integrated AWS DynamoDB, Lambda, CloudWatch, S3, Athena, and QuickSight, taking end-to-end ownership

Analyzed ticket text in Python with NLTK to continually discover new trends in ticket content

Collected viewer engagement data from TikTok with Tiktok Scraper for use in ecommerce marketing

Led team in predicting engagement metrics from hashtags with multiple regression model in Python with scikit-learn