-Consult with students about their academic/career challenges

-Data Scraping and Pipeline Development: Automate extraction of technical and financial data from various sources using HTML and Python scripts.-Data Analysis: Use Python libraries (Pandas, NumPy, Matplotlib) and advanced Excel functions to clean, manipulate, and analyze data, identifying trends and insights for informed decision-making.-Stock and Business Analysis: Conduct in-depth analysis of market conditions, business performance, and investment opportunities by examining financial statements, market trends, and economic indicators.-Report Writing: Create detailed stock reports that convey complex financial information clearly, guiding investment strategies with data-driven recommendations.

-TA for DS 2000 and 2001: Programming with Data and Practicum.-Helping Professor grade homework and holding office hours to answer students' questions

Conducted an experiment to validate a novel facial coding software for a lab client, influencing future strategies. Recruited 150+ respondents, processed 11,000+ data points, and created Python visualizations for client presentation.