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Hi there! For the past few years, I've been working as a Data Analyst immersed in the world of e-commerce, crafting custom dashboards and reporting to provide clear insights into crucial metrics. It's been an exciting journey learning about the inner workings of business operations, collaborating closely with marketing, merchandising, and finance teams, and applying my technical skills in SQL, Python, and Tableau to drive meaningful outcomes. As a graduate of the UC Berkeley MA Statistics program with an undergraduate background in mathematics, I’m well-equipped to tackle data challenges head-on. Feel free to take a look at some of the things I’ve worked in the past! : )
Projects
Geospatial Explanatory Modeling of the U.S. Drug Overdose Epidemic
Throughout the years, there has been a dramatic increase in drug overdoses. We are currently at the point where overdoses are the cause of more deaths than car accidents, guns, or HIV. Since 1999, there have been about 1 million fatal overdoses in the United States and just within the past year, over 100,000 have lost their lives due to overdose…
Impact Evaluation of Cement Flooring Welfare Program
The project concerns the impact of Piso Firme, a program that provided resources for low-income families in the State of Coahuila, Mexico to replace the dirt floors in their homes with cement floors. This study primarily focuses on quantifying the changes in parasitic infestations in young children, maternal happiness, and the subsequent long-term effects on…
An Analysis of AP Exam Participation Rates
Every year, millions of students take AP Exams in over 30 different subjects. These rigorous tests grant high school students the opportunity to earn early college credits if they receive a score of 3 or higher. And when they reach college, these early credits allow students to skip introductory classes, free up their class schedules, and …
genetic-selectR Package Development
In this project, we created an R package implementing genetic algorithms that efficiently selects the most optimized combination of covariates from multidimensional datasets for generalized linear modeling. We allow users to choose their own fitness functions and several different genetic operators, such as crossover and mutation. We also tested…
Research Experience
Persistent Homology in Keystroke Recognition
This research project utilizes persistent homology to examine student typing data collected from online proctoring sites and identify trends indicating academic misconduct. Topological data analysis is applied to evaluate the algebraic facets of the persistence of holes in a given space and display high dimensional data trends. The following…
Contact
Email: rhiannzhang@gmail.com