Hello there! I'm Steven, and I'm not your typical creative— I'm a dynamic blend of meticulous organization, a passion for data-driven insights, and a strong team-oriented mindset. With a natural penchant for structure and a keen eye for detail, I bring a unique perspective to the world of design, infusing it with the precision of data analysis. My journey has been a joyful dance between left and right brain thinking, allowing me to seamlessly navigate the realms of project management, data analytics, and design aesthetics.
In every project, my goal is to synergize the talents of a team, ensuring that our collective efforts not only meet but exceed expectations. I believe that the magic happens at the intersection of diverse skills, and I thrive on fostering collaboration that transforms ideas into visually stunning and strategically sound creations. So, whether I'm meticulously organizing project timelines, diving into data to uncover insights, or crafting visually compelling designs, you can bet I'm doing it all with a cheerful spirit and an unwavering commitment to bringing out the best in every endeavor. Let's turn the ordinary into extraordinary together!
A command line tool that takes a data base of food waste records, filters them by time period, and creates aggregations to unveil the primary culprits of food waste, broken down by food category, waste type, and waste reason.
A script that, when given a specific International Classification of Disease (ICD) code, uses unsupervised machine learning to extract a subset of closely related ICD codes that have the highest likelihood of appearing alongside the initial ICD code.
A closet-viewing and organization single-page-application built in the style of a fashion blog. It allows users to view outfits, filter outfits by category, and ‘favorite’ them for later.
