Top 10% of 17,000+ participants. Built a customer-profitability ranking model with an accuracy of 0.882.
Team result: public leaderboard macro F0.5 0.988, rank 287 of ~25,000 registered teams
(business entity resolution). See projects/amazon_ml_challenge.py.
Quantitative problem solving: financial modelling, Bayesian statistics, stochastic modelling and probability.
---title: Achievementsdescription: Competitions and programs Mohd Maaz Khan has taken part in.---
# Achievements
## American Express Strategy Track Challenge
Top **10%** of 17,000+ participants. Built a customer-profitability ranking model with anaccuracy of **0.882**.
## Amazon ML Challenge 2026
Team result: public leaderboard macro F0.5 **0.988**, rank **287** of ~25,000 registered teams(business entity resolution). See `projects/amazon_ml_challenge.py`.
## AMS DERIVE (PRIOR)
Quantitative problem solving: financial modelling, Bayesian statistics, stochastic modelling andprobability.
This portfolio is a working code editor, with a file tree, terminal and live simulations. It's at its best on a laptop or desktop.
On this phone, turn on your browser's Desktop site option (Chrome: ⋮ menu; Safari: aA menu), or read everything on one simple page.