Developed and implemented complex predictive models that describes relationships between revenue and location by applying retail geographic information, spatial datasets, economic theories, and machine learning techniques
Built customer profile and designed complex logistic models that resulted in intelligent marketing solutions for large and small clients
Communicated and collaborated with clients, client managers, software engineers, and others to help clients make more informed marketing and real estate decisions
Used software and programs such as Alteryx, JMP, Tableau, and Python
Managed projects of at least 14 brands (including Advance Auto Parts, CitiTrends, HanesBrands, & Redberry Restaurants), and built over 40 predictive models of various complexity levels and areas of focus while balancing priorities and deadlines
Teaching Assistant
University Of North Texas
Denton, TX
08.2018 - 12.2019
Led recitation classes that supplemented lesson curriculum by demonstrating solutions and explaining mathematical concepts of economics, calculus, and statistics to several groups of at least 25 students
Assisted instructors with lesson planning and curriculum implementation to promote effective learning in recitation classes and lecture classes
Maximized receptive learning by using hands-on instructional techniques, tutoring one-on-one, and encouraging students to take active participation
Education
Bachelor of Business Administration - Economics
University of North Texas
Denton, TX
12.2019
Bachelor of Business Administration - Finance
University of North Texas
Denton, TX
12.2019
Technical Skills
Experience with regression modeling using SAS, STATA, Alteryx, and JMP
Some experience with CSS, HTML, Python, and PostgreSQL
Strong Excel skills (Pivot tables, VLOOK-UP)
Understanding of statistical and econometric concepts (correlation, variance, confidence intervals, multicollinearity, p-values, and predictive model fitting)