- Project Management: Led the publication of a peer-reviewed article in ApJ while managing diverse stakeholder interests, adapting to evolving requirements while mitigating scope creep, and ensuring robust, impactful results- Machine Learning: Challenged the validity of long-established galaxy rotation models by leveraging deep neural networks made using Keras/TensorFlow to predict rotation speeds with ~10% more accuracy compared to them- Computer Vision: Extracted 1-dimensional, spatially resolved data from raw 2-dimensional images of galaxies for further application in predictive modelling using the Python astronomy image processing library AutoProf - Data Engineering: Designed a data pipeline to perform complex pre-processing and analysis on ~1,000,000 data points from 3,846 galaxies on a timescale of <30 seconds on a personal computer using SQL and pandas

- Communicating Complex Concepts: Delivered weekly tutorials for classes of ~50 students for various physics courses, developing a proficiency in keeping audiences engaged while discussing highly technical material- Team Management: Ensured feedback was returned to students within deadlines by assigning a fairly distributed marking workload to a team of 4 marking assistants, while taking into consideration their own time constraints- Organizational Skills: Assisted in the preparation of lecture, tutorial, and assignment material for classes of 150+ students, enhancing learning outcomes through interactive teaching methods and well-structured course timelines

- Software Development: Reduced the overhead expenses of multiple departments by a collective ~$10,000,000 through programming 10 new tools that minimized data entry errors and employee labor hours needed; using VBA and SQL for efficient data collection from multiple sources and modified Excel sheets and Tableau for intuitive UIs- Agile Cross-Functional Collaboration: Maintained alignment of stakeholder interests and project deliverables by facilitating clear communication between business partners and development team at least 1x per sprint- Influencing Stakeholders: Advocated for the BI&A team at 4 company-wide conferences and lunch-and-learn sessions by presenting the team’s project initiatives and business impact, helping attract new projects and funding

- Experiment Design: Conducted 5+ studies on solubility and sorption coefficients of nuclear waste products to investigate their environmental impact on surrounding rock structures at proposed waste disposal facilities- Simulating Physical Processes: Predicted results of solubility reactions through analytical calculations and numerical simulations to validate and corroborate the experimental work