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%.

Led weekly sessions for 40+ students on Excel modeling using Frontline Solver simulations, to increase student accuracy in solving linear and mixed-integer optimization problems by 30%.

Facilitated interactive labs on Gurobi in Python, resulting in a 20% increase in student engagement scores.

Collaborated with the product team to design and implement data-driven solutions to optimize Ad Tech performance.

Set up 10+ A/B testing environments (weekly) using in-house tools to statistically evaluate creative templates,

improving recommendation accuracy by 50% and contributing to a 70% increase in campaign profitability.

Automated reporting and processing workflows using Python, Excel, and SQL, reducing manual effort by 50%.

Led end-to-end project execution across 5+ initiatives using Slack, ensuring 100% on-time delivery.

Mentored 10 junior analysts on ETL design, SQL querying, and business reporting tools, increasing productivity by 40%.