[data] Anonymous admission contribution

[YichengYang-Ethan]

Profile

• Undergrad: CUFE Actuarial Science — major GPA ~3.56 (not separately modeled in v2)
• Master’s: UIUC Applied Mathematics — GPA 3.79 (primary GPA in YAML)
• Work: 5+ years domestic life insurer actuary; reserve valuation; IFRS17
• Other: WTW summer internship; FSA QFI track (in progress)
• GRE: Q169 / V158 (AW 3.5). TOEFL exempt (US degree) — not in YAML
• International: yes

Prediction Results

• Master of Science in Financial Engineering (New York University): 57% [45%-68%] — target
• Master of Science in Quantitative and Computational Finance (Georgia Institute of Technology): 47% [17%-80%] — target
• Master of Science in Mathematics in Finance (New York University): 39% [24%-58%] — reach
• Master of Arts in Mathematics of Finance (Columbia University): 38% [24%-55%] — reach
• Master of Science in Financial Mathematics (University of Chicago): 36% [25%-49%] — reach
• Master of Financial Engineering (Cornell University): 35% [19%-54%] — reach
• Master of Science in Computational Finance (Carnegie Mellon University): 32% [23%-43%] — reach
• Master of Financial Engineering (University of California, Berkeley): 29% [12%-57%] — reach
• Master of Science in Financial Engineering (Columbia University): 25% [17%-34%] — reach
• Master of Finance (Massachusetts Institute of Technology): 16% [7%-33%] — reach
• MS in Financial Economics (Columbia University): 15% [2%-61%] — reach
• Master in Finance (Princeton University): 10% [3%-33%] — reach
• Master of Science in Mathematical and Computational Finance (Stanford University): 9% [4%-22%] — reach
• Master of Financial Engineering (Baruch College, City University of New York): 8% [2%-33%] — reach
• Master in Asset Management (Yale University): 7% [1%-35%] — reach

Command: quantpath predict --profile profiles/data_contrib_actuary_uiuc_mfe.yaml (GPBoost v2 — retrained 2026-04-02). 15 programs — 13 reach / 2 target / 0 safety.

Actual Outcomes

Accepted

• Master of Financial Engineering (UC Berkeley): accepted (offer ~3 days after interview)

Rejected

• Master of Science in Computational Finance (Carnegie Mellon University): rejected (no interview)

Pending (at time of post)

• Master of Science in Quantitative and Computational Finance (Georgia Institute of Technology): interviewed; decision pending
• Master of Science in Financial Mathematics (University of Chicago): pending (final round)

Model accuracy note

CMU reject vs Berkeley admit with similar marginal P (~33% vs ~30%) — program-specific screening (GPA, prerequisites, interview) not fully captured. “大龄” and senior actuarial experience not explicit features.

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Data contribution — 大龄MFE / actuary notes. profiles/data_contrib_actuary_uiuc_mfe.yaml.