Credit Risk Prediction System
A web-based credit risk prediction project developed to estimate a borrower’s probability of loan default and classify applicants into low, medium, or high-risk categories.
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Financial Mathematics, Statistics
BSc (Hons) in Financial Mathematics and Applied Statistics
SLIIT
About Me
I'm Chamod Himesha from Sri Lanka. I am a passionate Financial Mathematics and Applied Statistics undergraduate at the Sri Lanka Institute of Information Technology (SLIIT), with a strong interest in data analytics, forecasting, machine learning, and statistical modeling.
FinanceIntern - LBFinancePLC (Jan2025 – July2025)
Finance & Risk Analysis , Statistical Data Analysis , EViews , SPSS , Minitab, Power BI , R studio , Python , ML , R, Dev C++
Academic Work
Developed and compared ARIMA, ARCH, GARCH, GAM, and XGBoost models to forecast monthly inflation rates using Sri Lankan macroeconomic data, evaluating model performance with forecasting accuracy metrics.
Portfolio
A web-based credit risk prediction project developed to estimate a borrower’s probability of loan default and classify applicants into low, medium, or high-risk categories.
An interactive Power BI dashboard developed to analyse monthly inflation trends in Sri Lanka and examine relationships with key economic indicators such as exchange rates, interest rates, foreign debt, and import prices.
View →Credentials
University of Moratuwa
Web design Development Techniques
Contact
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