Engineered state-of-the-art algorithms that merge scientific research and machine learning techniques to dynamically generate health recommendations.Led a cross-functional team consisting of data analysts, UI/UX designers, and software developers in the successful development of a genetic-based fitness and nutrition web application.Collaborated directly with scientists and biologists to integrate genetic information into the web app's recommendations, ensuring scientific accuracy.Facilitated communication and synergy among diverse teams, acting as a bridge between biologists, technical, marketing, and finance teams.Represented the company as the product ambassador in client presentations, effectively conveying the value proposition and features of the webapp.Spearheaded the optimization of health report generation by designing and implementing automated software solutions, resulting in significantly improved efficiency and reduced processing time.

Interacted directly with clients to comprehensively comprehend their needs and interactions with company tools, exhibiting strong customer-centric communication and analysis skillsLeveraged user feedback and conducted meticulous data analysis to pinpoint and resolve glitches within the geofencing API, showcasing a keen eye for detail and problem-solving prowessPioneered a novel property-search filter concept enabling users to search for properties based on travel-time to specific geographical locations, contributing to enhanced user experience and driving website innovationDemonstrated a proactive approach by conceiving the aforementioned filter, which was successfully implemented on the company website, underscoring both creativity and impactful contributions during the internship