● Created a Python Selenium script for web scraping and data extraction, reducing time from 53.3 hours to 3 hoursfor a 100K+ record database● Boosted machine learning model (random forest) accuracy from 74% to 93% by analyzing outputs, fine-tuning datavalidation, and integrating new data sources● Automated data extraction from SQL and Excel/Google Sheets with Python, cutting report generation time by70% and delivering over 20 weekly reports for Sales and Management● Presented original content to senior leadership (including CEO) in 2 separate meetings to share my project’scontributions to the company, ensuring clarity for a non-technical audience

● Evaluate and examine actual household surveys, gaining insights on > 11-year developmental trajectories of children who act as interpreters for their parents ● Accelerate project applications on GitHub, resolving bugs and optimizing existing code to facilitate efficient data analysis

●Expedite office hours to clarify complex concepts and reinforce students' understanding of statistical principles● Grade course assessments and coordinate examination proctoring for over 1,000 undergraduate students

● Assist ~50 customers per hour at the register and ensure customers signup for Loyalty Program at 64% per day● Clarify customers’ concerns with excellent customer service, exceeding sales targets by 5-8% each week● Utilize available fitting rooms to accommodate ~18 customers every 30 minutes during peak business hours● Communicate with diverse groups of customers to provide product assistance in a fast-paced environment

● Collaborated with five RAs to scrape, clean, and analyze 200+ PubMed articles to compile a conflict of interest (COI) list for 50,000+ distinct drugs, accelerating research’s progress by 8%● Validated and verified 1,200 drugs for potential COIs on GitHub, ensuring data integrity up to 81% by 3-step crosschecking process● Implemented Poisson regression to develop analysis on COI rates per academic article based on journal characteristics (h-index, open access status, country of origin), accounting for heteroscedasticity with robust standard errors

● Computed three monthly financial analyses for the finance department to approximate the company’s budget● Collected and managed data in a spreadsheet from 2000 potential customers for new product distribution● Administered online launch event of Google My Business to reach 1000 views within the first 15 minutes