Led a cross-functional team of 5 members in Agile sprints to build a data platform tracking over 1,500+ fentanyl analogs and precursor chemicals across public registries.
Collected and translated 10+ weekly partner inputs into prioritized backlog items and functional requirements, increasing sprint delivery efficiency by 30%.
Scraped and extracted chemical data from 10+ public sources (DEA, PubChem, ECHA) using BeautifulSoup and Selenium, creating a structured registry with 95%+ parsing accuracy.
Cleaned and normalized 5,000+ chemical records using Excel and Python, resolving duplicates and harmonizing synonyms to improve lookup precision by 40%.
Supported the development of a searchable fuzzy logic interface enabling identification by CAS, chemical names, or aliases, reducing search time for substances by 60%.