Priced regular and complex products on the wholesale level using corresponding pricing tools and coordinated pricing among different functional groups across the company including origination, trading desk, and risk. Also support retail pricing groups upon their request for exotic products. Conducted ad-hoc analysis of market data and compared it to model simulation. Presented the results to help capture market trends and commodity risk. Maintained and improved crucial pricing tools in the pricing platform of the company including troubleshooting and adding new features due to rule changes in the market. Researched and implemented new mathematical models and create programs to facilitate company-wide endeavor of platform transformation.

Used unsupervised learning techniques to identify virus variants, including COVID-19.

Worked as the only Business Intelligence Specialist in the company. Working in a Scrum and Kanban development environment, both remote and in the office. Building and maintaining OLAP cube databases which I used to create novel predictive analytics algorithms to answer multilevel business questions to over 7,000 hotels. Created custom dashboards for exploratory data analysis to be used by all customers and internal management. I also automated multiple tasks such as SQL queries and dashboard creation in Python

Teacher Assistant at Penn State University where I helped Dr.John Yen, the head of applied data science, with his Data Science 200 class, by providing class reviews, course grading, 3-hour exam review, and programming assistance. Communicated clearly and effectively with both novices and experts about Data Science. Coached novices in learning about Data Science, using active learning and metacognitive strategies. Provided individual feedback on performance against a clearly defined set of criteria. Due to my level of performance, given advanced responsibility to grade students’ projects and exams. Collected and summarized formative feedback on novices’ knowledge level for the purpose of improving performance.

Was the first data science tutor, where I helped students in all Data Science classes at the University along with, two Information Technology courses.

Conceived an algorithm that used Markov Chains, Black Scholes, Greeks delta, and gamma to predict financial movement in the S&P500. Implemented and explained Data Science concepts to professors from the Finance, Business, and Statistic Departments.