Muneeb Ahmed · imagine-talent

Email

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Phone

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GitHub

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Academic

Program

Finance

CGPA

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Year

2021

Education

Finance

Address

Islamabad

DOB

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Career

Current role

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Target role

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Skills

Tensor, XGBoost, Machine Learning, Predictive Modelling

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

Default Risk Prediction: An ML-Based Estimation For Listed Companies 
in Asia. 
Our topic focuses on using machine learning algorithms to predict when Asian companies might fail 
to meet their financial obligations. This project is important because accurate predictions can help 
investors and regulators reduce the financial losses associated with company failures. By 
concentrating on Asian markets, we address the specific economic and regulatory factors that affect
these regions. This project is necessary as it provides valuable tools to manage financial risks better 
and supports stable economic growth in Asia. 
Key Words: Default Risk Prediction, Machine Learning, Predictive Modelling. 
Area of Study: 
Finance 
Supervisor Name: 
Dr. Bilal Saeed 
Group Members: 
Shizza Kiani (i21 - 1416) 
Muneeb Ahmed (i21 - 1438) 
Tensor ·10 N • 
~ 
Powecsi • 
haJin XGBoost 
Ibrahim Mahmood (i21 - 1442) 
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Muneeb Ahmed is a Finance student at FAST NUCES Islamabad who participated in a group project focused on predicting default risk for Asian listed companies using machine learning. The project utilized algorithms like XGBoost to assist investors and regulators in managing financial losses.

Skills (AI)

["Machine Learning", "Predictive Modelling", "XGBoost", "Finance", "Risk Analysis"]

Status: ai_done

Provenance

Source file: FAST School of Management - Graduate Directory 2025.pdf
From job #19 page 139
Created: 1778140499