• Automated product report generation using Python scripts based on business specifications, streamlining a complex manualprocess and producing Excel outputs identical to the original• Developed a Python script to simulate product supply/demand based on product data and integrated it into generated reportsabove, reducing manual calculation errors and provides consistent estimates based on business specifications

• Led a team of six students in the development and implementation of a facial recognition project to detect obstructions• Utilized data science expertise to emphasize importance of quality data for models through documentation and code• Implemented a two-week sprint cycle for tasks and mentored team members on Agile methodologies as a scrum master• Collaborated with managers to establish project requirements over four months, resulting in 30% faster project completion rates

• Programmed fun educational labs utilizing JavaScript to teach coding fundamentals for elementary school children• Broke down labs into a series of five sub-lessons using a progressive curriculum approach, which helps increase complexity• Mentored several students on curriculum, providing hands-on guidance and support through multiple hour-long sessions• Wrote documentation to enable future instructors without coding backgrounds to understand and teach labs

• Developed an end-to-end machine learning pipeline for data collection, preprocessing, modeling, and deployment• Programmed web scrapers with BeautifulSoup to extract information from several makeup websites, increasing product acquisitionrates from a few items to a hundred items per day• Wrote automated scripts on extracted data to perform various tasks, including classification, cleaning, and data augmentationthrough the use of natural language processing, reducing weeks of manual verification• Trained a supervised learning classification model with existing algorithms to detect obstructions that obscure facial features inimages, which averages ∼85% accuracy• Integrated code into company’s first minimal viable product, enabling users to test functionality and provide feedback

• Assisted a beginner Python programming class with diverse students and varying levels of prior coding experience• Moderated an online discussion board for 550 students, addressing conceptual and technical questions in a timely manner• Held weekly office hour sessions to reinforce key Python concepts taught in class and address individual student challenges• Provided constructive feedback on coding styles, and reinforced good coding habits to guide students in improving their skills