Extended functionality of several in-house libraries used for logging, database operations, and fetching data from various vendors and validated changes to libraries by contributing to test suites

Standardized the use new tools I worked on to replace inconsistent usage of unreliable libraries throughout codebase

Optimized file processing for production forecasters, improving their runtime by over 30%

Created a testing scheme with Bazel and Make to automatically validate changes to the production scheduler

Performed maintenance for pipelines and libraries including bug fixes, quality of life improvements, and code refactoring

Course reader for Algorithms, Foundations of Data Science, and Principles of Data Science

Led small-group discussion and tutoring sessions, as well as larger, exam-prep review sections

Created study resources for students and provided conceptual support during office hours

Performed maintenance for datascience through bug fixes and resolving issues with the library

Performed exploratory data analysis, data cleaning, and modeling on survey data; discovered insights allowed Riva to open communication with data provider to discuss partnership.