Generalize project for all MFE applicants

- Replace personal sample profile with generic "Alex Chen" example
  covering a typical applicant's coursework and experience
- Remove UIUC-specific course codes from gap advisor recommendations
  (STAT 400, CS 225, etc.) — now uses generic descriptions
- Update pyproject.toml author to MasterAgentAI, fix repo URLs
- Update README example output to match generic profile

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: YichengYang-Ethan

README.md

@@ -29,27 +29,28 @@ QuantPath changes that.
 $ quantpath evaluate --profile my_profile.yaml
 
 ┌─ QuantPath Profile Evaluation ──────────────────┐
-│ Yicheng Yang | UIUC | GPA 4.0 | International   │
+│ Alex Chen | State University | GPA 3.78 | Intl    │
 └──────────────────────────────────────────────────┘
-  Math            9.5/10  ████████▌░
-  Statistics     10.0/10  ██████████
-  CS             10.0/10  ██████████
-  Finance/Econ    9.0/10  █████████░
-  GPA             9.5/10  ████████▌░
+  Math            8.2/10  ████████░░
+  Statistics      7.5/10  ███████▌░░
+  CS              7.0/10  ███████░░░
+  Finance/Econ    8.0/10  ████████░░
+  GPA             8.5/10  ████████▌░
 
-  OVERALL:        9.6/10  ██████████  Top 3-5 MFE Level
+  OVERALL:        7.8/10  ████████░░  Competitive
 
   🎯 Reach:   Princeton MFin, Stanford MCF, Baruch MFE
-  🎯 Target:  CMU MSCF, Columbia MSFE, MIT MFin
-  🎯 Safety:  NYU Tandon, UChicago MSFM, Cornell MFE
+  🎯 Target:  CMU MSCF, Berkeley MFE, MIT MFin
+  🎯 Safety:  UCLA MFE, GaTech QCF, Rutgers MQF
 
   ⚠️  Gaps Found:
-     - Linear Algebra: 76/100 (below Baruch B+ threshold)
+     - Stochastic Processes: Missing
+     - PDE: Missing
 
   ✅ Strengths:
-     - CS major (only 18% of CMU class)
-     - 3x C++ courses all A
-     - 7x 400-level Statistics courses
+     - Real Analysis A-
+     - Strong economics coursework
+     - Two quant internships
 ```
 
 ### Prerequisite Matcher

core/gap_advisor.py

@@ -41,10 +41,10 @@ class GapRecommendation:
         " (multivariable calculus is required by nearly all programs)"
     ),
     "linear_algebra": (
-        "Take a Linear Algebra course with proof-based content"
-        " (MATH 415 level or above)"
+        "Take a proof-based Linear Algebra course"
+        " (upper-division or graduate level)"
     ),
-    "probability": "Take calculus-based Probability (e.g. STAT 400)",
+    "probability": "Take a calculus-based Probability Theory course",
     "ode_pde": "Take Differential Equations (ODE); PDE is a plus for top-5",
     "real_analysis": (
         "Take Real Analysis / Real Variables"
@@ -56,13 +56,13 @@ class GapRecommendation:
         " (recommended for top-5 programs)"
     ),
     # Statistics dimension
-    "math_stats": "Take Mathematical Statistics at 400 level (e.g. STAT 410)",
-    "time_series": "Take Time Series Analysis (STAT 429 or equivalent)",
-    "econometrics": "Take an Econometrics course (ECON 480 or equivalent)",
-    "stat_learning_ml": "Take Statistical Learning or ML (STAT 432 / CS 446)",
-    "stat_computing": "Take Statistical Computing (STAT 428 / R or Python)",
+    "math_stats": "Take Mathematical Statistics at the 400+ level",
+    "time_series": "Take a Time Series Analysis course",
+    "econometrics": "Take an Econometrics course",
+    "stat_learning_ml": "Take Statistical Learning or Machine Learning",
+    "stat_computing": "Take Statistical Computing (R or Python-based)",
     "courses_400_level_count": (
-        "Enroll in more 400-level statistics courses"
+        "Enroll in more upper-division statistics courses"
         " to strengthen your transcript"
     ),
     # CS dimension
@@ -71,20 +71,20 @@ class GapRecommendation:
         " (essential for Baruch, CMU, and most top programs)"
     ),
     "python_proficiency": (
-        "Take a Python course or complete substantial Python projects"
+        "Take a Python course or build substantial Python projects"
     ),
-    "data_structures_algo": "Take Data Structures and Algorithms (CS 225+374)",
-    "ml_course": "Take a Machine Learning course (CS 446 / STAT 432 level)",
-    "numerical_computing": "Take Numerical/Scientific Computing (CS 450)",
+    "data_structures_algo": "Take Data Structures and Algorithms",
+    "ml_course": "Take a Machine Learning course",
+    "numerical_computing": "Take Numerical or Scientific Computing",
     "is_cs_major": (
-        "Consider adding a CS minor or taking additional CS electives"
+        "Consider a CS minor or additional CS electives"
     ),
     # Finance/Econ dimension
-    "micro_macro": "Take Intermediate Micro and Macro Economics courses",
+    "micro_macro": "Take Intermediate Micro and Macro Economics",
     "investments_finance": "Take an Investments or Corporate Finance course",
     "derivatives": "Take Derivatives/Options Pricing or Financial Risk Mgmt",
     "risk_management": "Take a Risk Management or Financial Risk course",
-    "financial_econometrics": "Take Financial Econometrics (ECON 472)",
+    "financial_econometrics": "Take Financial Econometrics",
     "game_theory": "Take Game Theory (lower priority for most MFE programs)",
     # GPA dimension
     "cumulative_gpa": "Focus on raising GPA by excelling in remaining courses",