Wanyi H.

About Wanyi H.

Passionate about utilizing data visualization, data mining and machine learning (especially machine learning models such as Logistic Regression and Random Forest) methods to solve problems and deliver insights for decision making.Programming Languages: Advanced: Python (pandas, Numpy, matplotlib, scikit-learn, re, mlxtend), SQL Intermediate: R (dplyr, RMySQL, sqldf, ggplot2, R Markdown), Tools: Advanced: Tableau, Power BI, SAP, Excel (Pivot table, VLOOKUP), Alteryx Intermediate: Google Analytics, STATA, WekaTech Stack: Hadoop, HDFS, Spark (PySpark), AWS (S3, EMR), CassandraStatistical techniques: Linear Regression, Logistic Regression, natural language processing (word cloud, text frequency), random forest, CART, ANOVA, support vector machines (SVM), K-means, KNN, partially squares, boosting, bootstrapping, cross-validation, hyper-parameter tuning, Generalized Linear Model (GLM).Core Courses I have taken:Statistics for data scienceBusiness Intelligence AnalyticsData and ProgrammingPredictive AnalyticsBig Data ManagementAdvanced Data AnalysisInterests: Rubik\'s Cube, Marvel Movies, Singing, Playing League of LegendsI can be contacted directly at w••••••••@gmail.com.GitHub: https://github.com/wanyi11

Experience

1. Data Engineer, Analytics

   Meta

   Jan 2022 — Present · Menlo Park, CA, US

Education

• Jiangxi University of Finance and Economics

  Bachelor's degree, Accounting

• University of California, Irvine - The Paul Merage School of Business

  Master's degree, Business Analytics

• University of Southampton

  Bachelor's degree, Accounting