• Performed Root Cause Analysis to redesign, optimize, and test smart dryer cycles, achieving Energy Star compliance, 20% energy savings, and reducing operation time by 12%. Gained crucial embedded systems engineering expertise using PCBs, C++, Arduino, Bluetooth, & Raspberry Pi.• Managed, and efficiently visualized 372,000 + washer and dryer customer reviews database across 40+ brands along with over 1 million review sentence sentiments captured via various machine learning techniques. Overhauled web scraping process and scripting to prevent data corruption, increased security, easier modification, and cut overall upload time by hours. • Introduced procedures for using qualitative research AI HeyMarvin & verifying with current machine learning models like OpenAI; Improved the team’s qualitative research, UX, and data analysis capabilities on pain points, challenges, and customer sentiment directly from product reviews. • Revamped the AWS Quicksight UI, greatly increased data visualization and user interaction with categories such as comparison of brands, models, features, sentiment, and store performance for improved data-driven decisions in research and design.

• Conducting and successfully managing 150 - 300 transactions per day with oversight responsible of 700+ transactions, and with often over $60,000 in sales/per day.• Train, instruct, and advise all new employees on store operations, given authority to be acting manager and make critical decisions on the sales floor when necessary.• Consistently ranked top in store for NSPP (No Sweat Protection Plans) in store with 20% conversion rate and exceeding the company expectations at 12%.• Efficient Critical Thinking, Communication, Teamwork, Leadership, and Professional Skill Development

Manager in TrainingExperience in Scheduling, Cash Flow, Food Safety, and Training / Retention of Employees