ABDULLAH AL NOMAN

Highly-motivated employee with desire to take on new challenges. Strong work ethic, adaptability, and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills.

• GRE General Test, 11/07/23, 299, 160, 139
• Duolingo English Test, 01/08/24, 125, 125, 135, 120, 100

• Geospatial Analysis of Historical Tetanops myopaeformis Population Dynamics: Effects of Climatic Variables and Previous Land Use History, 09/01/25- Present

Currently collaborating on a study of agricultural pest population behavior in Southern Idaho by integrating and processing large, multi-source geospatial datasets (PRISM, NASA POWER, USDA Cropland) with long-term fly trap data. 

• A Comparison of Logistic Regression and Linear Discriminant Analysis for Predicting Heart Disease, 2022

This project compares linear discriminant analysis and logistic regression for predicting cardiac illness using a real-world dataset. Despite similar approaches, linear discriminant analysis slightly outperforms logistic regression in prediction accuracy, determined through multiple measures and model selection on test data. 

• QMH Statistics Club, University of Dhaka, Volunteer
• DUSDAA (Dhaka University Statistics Department Alumni Association), Volunteer