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Wenjing Tang
Duke MQM: Business Analytics Candidate - Class of 2021 - Aspiring Data Analyst - Seeking Full-time Analytics Jobs
Wenjing Tang is a skilled individual with a strong passion for data analytics and is actively seeking opportunities to apply technical skills in analytical roles.
A graduate of Duke University's Master of Business Analytics Program, Wenjing has honed her abilities through numerous team projects, making her an excellent team player adept at efficiently analyzing data in diverse environments.
Wenjing Tang is proficient in a variety of data analytical tools including SQL (window function, CTE), R (tidyverse, dplyr), Python (numpy, pandas), and Advanced Excel (pivot table, vlookup, crystal ball, TreePaln). Her data visualization skills include Tableau, ggplot2, matplotlib, and seaborn.
With a strong foundation in statistical methods, Wenjing is experienced in regression techniques like Linear Regression, Quantile Regression, and Random Forest. She also excels in classification methods such as Logistic Regression, SVM, and K-Nearest Neighbors, among others. Her expertise extends to regularization techniques like Lasso and K-fold Cross Validation, as well as A/B Testing, Text Mining, and Sentiment Analysis.
Education wise, Wenjing holds a Master's degree in Business Analytics from Duke University's Fuqua School of Business and a Bachelor's degree in Accounting from The Ohio State University Fisher College of Business.
With previous roles including Business Development Planner at Duke China-US Summit, Labor Analyst at Cedar Fair Entertainment Company, Financial Advisor at Office of Student Life - Scarlet and Gray Financial, Audit Associate at Ruihua China Certified Public Accountants, and Peer Counselor at College Reading & Learning Association, Wenjing Tang has gained a diverse range of experiences that have contributed to her analytical skills and professionalism.

