{"repo":"MasterAgentAI/QuantPath","free":true,"listed":false,"github":"https://github.com/MasterAgentAI/QuantPath","clone":"git clone https://github.com/MasterAgentAI/QuantPath.git","description":"MFE admission prediction — GPBoost model (AUC 0.723) on 12,800+ records, 29 programs, 930 LinkedIn profiles. Pure data-driven, no manual tuning.","language":"Python","stars":20,"topics":["cli","financial-engineering","graduate-admissions","mfe","python","quant-finance","admission-prediction","graduate-school","logistic-regression","college-admissions"],"license":null,"category":"cli-tools","readme_excerpt":"QuantPath MFE admission prediction engine — GPBoost mixed-effects model on 13,100+ records across 31 programs. Profile scoring, prerequisite matching, and data-driven school ranking. -orange.svg) --- Why QuantPath Consulting services charge $4,500--10,000 per school . QuantPath provides the same analysis for free -- multi-dimensional profile scoring, admission probability with confidence intervals, and personalized gap analysis across 15 focused MFE programs (31 total in database). Community calibration: Applicants and maintainers also post anonymized profiles , quantpath predict output, and actual results to GitHub issues labeled data-contribution . That stream is used to spot systematic gaps (e.g., same-university different-degree programs, waitlists) that offline metrics alone do not show. Data Dataset Records Source --------- --------- -------- Admission records 13,100+ GradCafe, QuantNet, Reddit, 1point3acres, ChaseDream (accepted/rejected/waitlisted) LinkedIn alumni 930 20 MFE programs (employer, undergrad school, graduation year) Program database 31 QuantNet 2026 Rankings + official sites (prerequisites, deadlines, salaries) Model v1 (primary) : Per-program logistic regression on GPA + GRE Quant with bias correction and profile adjustments for undergrad tier, internship quality, research, and major relevance. 27 trained models covering all 15 focused programs. v2 (fallback) : GPBoost -- LightGBM gradient boosting with per-program random intercepts. Trained on 11,100+ l","default_branch":null,"files":null,"tree":[],"storefront":"/r/MasterAgentAI","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/MasterAgentAI/QuantPath/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}