As a data enthusiast, I strive to leverage data to make a sizeable impact on revenue and growth for a company. By applying Data Science, I seek to contribute meaningful recommendations for business teams to make better decisions in a way that may never have been thought of before. I am currently pursuing an MS in Business Analytics from the University of Southern California, Marshall School of Business. I offer five years of professional experience in both technology consulting and the hospitality industry and have contributed to numerous projects including landscape analysis, Business Process Improvement, and Product Analytics. My interest in Data Science is inspired by my own professional experiences where I was able to recognize the impact of data and technology for business success in terms of growth and decision making. Skills: Programming: Data Cleaning/ Descriptive Analytics (R: dplyr, lubridate; Python: numpy), web scrapping (R: rvest), SAS Visualization: R: Shiny, Capture trends and unusual behavior (R: ggplot2, ggmap), Python: matplotlib, Tableau Data tools: RStudio, SQL (PostgreSQL), Python (Jupyter), SAS, Excel (Solver, Analysis ToolPak), Google Analytics Modeling: Supervised Learning Methods (Linear Regression, Logistic Regression, Decision Trees) Statistics: Statistical Hypothesis tests (e.g. A/B tests), ANOVA, Chi-Square test, T-test Certifications: Operations Analytics by Wharton School, Business Metrics for Data-Driven companies by Duke University Areas of Interest: Predictive Modelling, Data Visualization, Product Management, Fraud Analytics, Statistical Analysis Soft skills: Problem Framing, Leadership, Dependability, Delegation, Motivation, and Teamwork