Quang Tran

• Engaged in weekly practice of progressively challenging data structures and algorithms throughout 10-week program.
• Conducted thorough readings to enhance understanding and achieve learning objectives.
• Articulated thought processes clearly, ensuring complex code was deconstructed for comprehension.
• Analyzed key performance indicators to pinpoint effective strategies for improvement.

• Acquired new concepts rapidly while excelling in high-pressure environments.
• Demonstrated commitment to continuous self-improvement and learning.
• Took initiative in tasks, mastering technologies in a rigorous 72-hour course.
• Collaborated within a team using MERN Stack to deliver quality projects on tight deadlines.
• Contributed to backend development and supported design and creation efforts.

Constantly looking for new challenges to take on and strengthen my experience. Thus far, I have made a substantial contribution to a cutting-edge research that utilizes Bayesian Networks to deploy robotic swarms strategically in lunar exploration missions. Using concepts from graph theory and probability, I designed ways to improve the robots' capacity to work together and maximize the information that flows between them to adapt uncertainty,

• Enhanced customer satisfaction by providing efficient and accurate cash transactions.
• Assisted customers with inquiries and provided exceptional service, resulting in positive feedback from shoppers.