Economics & Markets
International trade, macroeconomic context, alternative data, and market research.
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Professional Portfolio · Sangmin Lee
Economics and business student turning data, financial research, and service thinking into practical decisions.
As an International Trade major and Business Administration double-major candidate, I have worked across customer analytics, alternative-data economics, corporate valuation, fintech systems, and service MVP planning. I separate what the evidence supports from what still requires validation.
Working method
Capability summary
My work begins with a decision question, selects evidence appropriate to that question, and finishes by separating supported findings from assumptions and next validation steps.
International trade, macroeconomic context, alternative data, and market research.
Customer strategy, financial statements, corporate valuation, and industry analysis.
Python, statistics, regression, classification, explainable AI, and survey analysis.
Dashboards, analytical reports, MVPs, operating workflows, and decision recommendations.
Selected evidence highlights
Each highlight connects source-backed evidence to a capability while keeping scope and validation boundaries visible. Project cards remain the route to the full cases.
Evidence
Demonstrates · Customer segmentation, explainable classification, and action-oriented retention planning.
Scope · The 5.0 percentage-point churn reduction is a proposed target, not an achieved result.
Evidence
Demonstrates · Economic research using satellite data, public indicators, and regression analysis.
Scope · This is explanatory fit in the reported simple model, not prediction accuracy or causal proof.
Evidence
Demonstrates · Financial statement analysis and comparison of DCF, APV, and relative valuation.
Scope · A conditional classroom analysis; valuation arithmetic requires audit before public use.
Evidence
Demonstrates · Broker abstraction, bot control, dashboards, logging, and operational validation.
Scope · Paper-trading validation only; no real-money operation or performance claim.
Selected work
Each case follows the same path: question, evidence, analysis, interpretation, and practical decision value.
Business question
Which customers are most likely to leave, why are they at risk, and which retention response fits each segment?
Business question
Can night-light intensity help explain GDP where official statistics are limited, and do urban population and electricity access change that relationship?
Business question
How should Korean Air be evaluated when post-pandemic recovery, large investment needs, leverage, and uncertain cash-flow assumptions cause valuation methods to diverge?
Business question
What operating infrastructure is required to move trading rules from standalone scripts into a controllable and observable service?
Business question
How do preprocessing, regularization, model complexity, and hyperparameters affect validation and test performance?
Business question
How can a personal photography concept be translated into a testable product and service experience before public launch?
Business question
Does a familiar social belief about blood type and personality remain supported when translated into hypotheses and tested with survey data?
Continue the conversation
Open to internship and entry-level opportunities across data analysis, financial and market research, fintech, strategy, BizOps, and service planning.