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Minkoo
Kang

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

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Minkoo Kang
5.3×
ROAS Increase
4.2×
CVR Growth
20%
CTR Lift
39,000+
Customers 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 (MySQL) Power BI 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

Starting Nov 2026
Global Green Growth Institute
Incoming Web and Marketing Data Analyst Intern
Communications & Knowledge Sharing · Seoul, South Korea
  • Incoming role covering CRM, email, website, and social data integration, Power BI reporting, and data quality across communications platforms.
May 2026 – Present
Michuhol-gu District Office
Public Data Analyst
Incheon, South Korea
  • Joined 18,885 business records with National Tax Service sales and card-usage statistics, resident population, and transit ridership to map a target trade area and rank its industry mix by location quotient.
  • Built a comment pipeline over 3,026 social comments, removing 745 giveaway entries by rule before sentiment and complaint classification, with labels checked by district staff and an independent sample.
  • Received an Incheon Metropolitan City Mayor's Award for the analysis: it overturned an initial read and confirmed staff reports that residents were raising complaints on the channel, reached the district head, and scoped a commissioned study for the next year.
2026 – Present
Inha University
Undergraduate Research Assistant, Scientific Computation Lab
Incheon, South Korea
  • Benchmarked churn and repeat-purchase forecasting models (BG/NBD, Pareto/NBD, LSTM, GBDT, and a continuous-time neural model) across six customer panels covering 39,000 customers.
  • Segmented each panel by purchase frequency and found the winning model changed by segment on four of six panels, so customers are scored per segment instead of one model per panel.
  • Cut aggregate win-back forecast error from 29.6% to 5.9% against the static baseline on a holdout panel, then set contact thresholds by cost-to-margin.
Aug 2023 – Dec 2023
OOA Inc.
Performance Marketing Intern
Incheon, South Korea
  • Managed a 10M KRW ad budget solo across Meta Ads, Google Ads, and Naver, modeling budget against performance to forecast ROAS under concentrated-spend scenarios.
  • Convinced 3 decision-makers to concentrate spend on Instagram with those forecasts, and mined 1,000+ customer reviews for the creative angle; ROAS rose from 120% to 640% and CTR by a relative 20%.
Feb 2023 – May 2023
JSCODE
Brand Marketing Intern
Incheon, South Korea
  • Diagnosed multi-channel spread as the conversion bottleneck from inflow and funnel data, and pivoted the team onto Instagram alone to concentrate content quality and team capacity.
  • Rebuilt campaign messaging around the core purchase driver found in customer interviews, lifting conversion rate 4.2× over three months.

Education

Inha University

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

Thanks for visiting. Let's chat.

Open to CRM and data analyst roles.

Contact me →