Abdullah Mehboob

BS Computer Science graduate from UMT (2026) with hands-on experience in data science, machine learning, and exploratory data analysis. Completed a Machine Learning internship at KPMG working with real-world business datasets. Built end-to-end projects covering customer churn prediction, hotel booking cancellation prediction, SQL data analysis, and a movie recommendation system.

Skilled in Python, pandas, NumPy, scikit-learn, Matplotlib, Seaborn, and SQL. Familiar with supervised learning, unsupervised learning, feature engineering, model evaluation, and data visualization. Basic exposure to deep learning with TensorFlow and Keras.

Machine Learning Intern - KPMG

(2025-01)

• Performed end-to-end exploratory data analysis (EDA) on real business datasets using Python, pandas, and seaborn; identified key trends to support data-driven decision making.
• Built and evaluated a Logistic Regression classifier; communicated model performance via Precision, Recall, and ROC-AUC metrics to the analytics team.
• Handled missing values, outliers, and feature encoding; wrote SQL queries for data extraction and multi-table joins to prepare structured datasets for modeling.

Bachelor of Computer Science - Computer Science - University of Management and Technology (UMT) (2022-01 - 2026-01)