Somang (So) Han

MSE in Data Science

University of Pennsylvania

Biography

I’m a first year graduate student of the Data Science program at the University of Pennsylvania. Previously, I was working as an analytic professional in customer analytics/fraud analytics domains for 2 years. My research interests lie in the intersection of data science and economical behaviors/human behaviors. I love learning new skills (from machine modeling techiques to hula hooping) and skiing.

Interests

Customer Ananlytics
Fraud Analytics
Machine/Deep Learning
Topological Data Analysis

Education

MSE in Data Science, 2022

University of Pennsylvania
BA in Mathematics/Statistics, 2018

St.Olaf College

Experience

Aug 2020 – Present

Philadelphia, PA

Data Manager

University of Pennsylvania, Penn Online Learning Initiative (OLI)

Analyze Penn MOOCs data for 8 million enrollment on Coursera to uncover trends and provide recommendations
Work collaboratively with OLI's Director of Operations to manage MOOCs database through Quick Base, Salesforces applications and retrieve data using SQL to create quarterly reports for tracking key metrics in OLI's growing portfolio

Nov 2018 – June 2020

Eden Prairie, MN

Decision Scientist, Marketing

Bluestem Brands, Inc.

Extracted millions of customer data across multiple platforms (Hadoop, SQL Server, SAS) and transformed large complex data to generate features for new customer acquisition and customer marketing models in Python
Built XGBoost ensemble models using Python on AWS to identify customer segments for direct mail marketing and improved sales conversion rate by 15%
Led a team of 2 to enhance a customer experience tracking tool in R Shiny and increased customer satisfaction of fingerhut.com by 10% in four months
Supported marketing product managers with ad-hoc analysis and statistical analysis to enable data-driven decisions by business leaders

Sep 2018 – Nov 2018

Minneapolis, MN

Associate Data Analyst

Amplifon, Inc.

Consolidated annual budget reports for sales of Miracle-Ear products, validated metrics and KPIs by manipulation of complex Excel formulas and Pivot Tables, and improved the process efficiency by 5%

June 2018 – Sep 2018

Minneapolis, MN

Data Scientist Intern

ID Insight, Inc.

Rebuilt a fraud detection model to predict the risk of bank fraud using Logistic Regression in R and improved model performance by 20%
Identified different types of fraud by K-Means Clustering; generated data visualization in Tableau; presented findings to C-level leadership

Aug 2017 – May 2018

Northfield, Minnesota

Statistical Consultant

St. Olaf College

Utilized statistical techniques in R to provide recommendations to 2 to 3 students per week for their projects
Conducted NSF funded research in Topological Data Analysis with 3 students and published research findings on a peer-reviewed journal (SIAM Undergraduate Research Online - DOI: 10.1137/18S017302)