Portfolio

Minkoo
Kang

CRM Data Analyst focused on customer behavior, transaction data, and measurement. Turning analysis into better targeting, retention, and growth decisions.

View Work → LinkedIn ↗
Minkoo Kang
5.3×
ROAS Increase
4.2×
CVR Growth
20%
CTR Lift
2,500+
Households Modeled

About

Hello! My name is Minkoo Kang.

I'm a Data Science and Media & Communication undergraduate at Inha University, preparing for CRM and customer analytics roles.

My work spans transaction-data modeling, conversion-funnel analysis, and customer insight research. I build measurement workflows and turn evidence into channel and customer-targeting decisions.

I am currently researching repeat-purchase forecasting and churn risk with continuous-time transaction models.

Skills & Tools

Python SQL Google Analytics Statistical Inference Customer Data Analytics Data Cleaning & Validation Data Pipelines
Structured Problem Solving Hypothesis Testing ROI Optimization Customer Segmentation Repeat-Purchase Forecasting Churn Analysis
Google Analytics Individual Qualification - Google, 2026 OPIC - IH, 2026

Experience

Where I've Made Impact

Aug 2023 – Dec 2023
OOA Inc.
Performance Marketing Intern
Part-time · Incheon, South Korea
  • Standardized multi-channel performance data and modeled budget-to-revenue scenarios to inform channel allocation; achieved a 5.3× ROAS increase.
  • Analyzed 1,000+ customer reviews to identify purchase drivers and align campaign messaging with customer needs, contributing to a 20% CTR increase.
Feb 2023 – May 2023
JSCODE
Marketing Intern
Part-time · Incheon, South Korea
  • Analyzed acquisition and funnel performance to identify the highest-efficiency channel and focus limited operating resources on it.
  • Combined customer interviews with channel data to refine acquisition messaging and improve conversion rate by 4.2×.

Education

Inha University

Incheon, South Korea
B.A. in Media & Communication
B.S. in Data Science
Feb 2022 – Aug 2027 (expected)
Customer Data Analytics · Database · Data Science Programming · Econometrics