I am an impact-driven professional who is passionate about utilizing analytical methods to improve business operations or processes. With a Master of Science in Business Analytics (MSBA) degree at the University of Notre Dame, and a Bachelor’s degree in Mathematics and Economics, I have hands-on experiences with end-to-end data analyses that translate data into actionable insights. I am skillful in turning ambiguous business problems into problems measurable with data, using various technical tools (SQL, R, Python, Tableau, machine learning models, etc.) to generate insights from large datasets, knitting the insights into interesting and engaging stories, and presenting the results to audiences with different tech backgrounds. Computer Skills: R (tidyverse, ggplot, caret, tm, tidytext, stm, rvest, etc.), Python (pandas, NumPy, Matplotlib, scikit-learn, Selenium, BeautifulSoup, etc.), SQL, Hadoop (Spark, Hive, Pig, Kafka, etc.), Tableau, SAS EM, Java, MS OfficeAnalytics Topics: Statistical Inference & Modeling, Regression Analysis, Hypothesis Testing, AB Testing, Machine Learning(Association Rules, Clustering, KNN, Decision Tree, Cross-Validation, Bootstrapping, Random Forest, AdaBoost, XGBoost, SVM, Naive Bayes, Neural Network, CNN, LIME, etc.), Data Visualization, Data Storytelling, Data Cleaning, Predictive Analytics, Optimization, Data Management, Financial Analysis, Unstructured Data Analytics, Text Mining, Data Mining, Web Scraping