ademirelli

Developed tree-based algorithms for dynamic pricing, improving profit by 5.60% for an MIT-incubated startup. Collaborated with cross-functional teams to integrate ML solutions and data-driven pricing strategies.

Conducted mathematical research and statistical analyses to uncover market trends and patterns in securities. Used large data sets to develop predictive models, backtested, and identified profitable trading opportunities. Applied quantitative techniques to generate alpha and informed the investment decision-making process. Engineered trading bot achieving 76.5% directional accuracy through backtesting and live deployment.

Conducted mathematical research, tutored, and mentored students. Taught undergraduate courses, assisted faculty, proctored, and graded exams.

Conducted mathematical research and taught six undergraduate courses per year.