Chengyu Liu

About Chengyu Liu

Proficient in handling SQL statements and performing data analysis using various analytic tools like AWS, Python, Tableau, AWS Quicksight• Experienced in large and complex data extraction, cleaning, and manipulation • Performed advanced dashboards and visualizations using Tableau Desktop/AWS Quicksight to easily interpret the data• Experienced in building models using supervised and unsupervised algorithms like logistic/linear regressions, random forest, clustering techniques, KNN SKILL SET:• Languages: Python, SQL• Python Packages: Pandas, Scikit-learn, Matplotlib, Numpy, Seaborn, StatsModels, Plotly, Dash, NLTK, PySpark• Data Analytics: Tableau, AWS Quicksight, Apache Spark, Power BI, Advanced Excel, Google Analytics• Databases: MySQL, MongoDB, PostgreSQL, Microsoft SQL Server• AWS Services: Lambda, SNS, SES, EventBridge, Athena, Glue, Redshift, S3, EC2, RDS, Quicksight• Statistical Methods – Time Series Analysis, A/B Testing, Regression Models, Hypothesis Testing, Statistics• Machine Learning Algorithms: Linear Regression, Logistic Regression, Decision Tree, Random Forest, Naive Bayes, KNN, K-means, Clustering, Principle Component Analysis, Boosting, BaggingCORE KNOWLEDGE: Data Mining and Analysis Machine Learning on Large Datasets Predictive Modelling Time Series Analysis Exploratory Data Visualization Business Intelligence & Data-Driven Insights Database Management Dashboard, Report BuildingContact:j••••••••@gmail.com

Experience

1. Senior Business Intelligence Engineer, L & d

   Amazon

   Dec 2025 — Present

Education

• Columbia University

  Certificate , Applied Machine Learning

  2019

• The Wharton School

  Certificate, Business Analytics: From Data to Insights

  2018

• Northeastern University

  Master's Degree, Data Analytics - Statistical Modeling

  2019