Samuel Wang

Data Analyst i @Analyticsiq

Atlanta, GA, US

12 week intern, got extended to the end of 2025.1. Modeling & Data Engineering- Built logistic regression models with robust variable selection and feature engineering for targeted marketing and customer insights- Ensured models adhered to goodness-of-fit metrics and state regulations- Orchestrated Alteryx, AWS+Spark workflows to streamline data delivery for customers (B2B)2. Process Improvements and tooling development- Refactored routine SAS code, wrote VBA macros and Python scripts, cutting- Model scoring program runtime by 80%- Importance calculation runtime by from 20~40 minutes to a few seconds (Python), or to under 2 minutes (SAS, for ease of use for other analysts)- Correlation filtering time by 93%- Feature engineering/EDA time by 60%- Automated repetitive tasks, including Alteryx workflow creation, significantly reducing point-and-click efforts3. Data Science- Applied information-theoretic knowledge to identify and fixed a flaw in a standard modeling program used by all analysts in the company, ensuring more accurate and reliable variable selection process4.(In-progress) Data Engineering: Maintain, improve, streamline company\'s AWS PySpark big data pipelines.

Georgia Institute of Technology

Master's degree

National Taiwan University

Bachelor of Science - BS

National Taiwan University

Master of Science - MS