Machine LearningEducational Data MiningPredictive AnalyticsBusiness Intelligence
Predictive Modelling for Graduate Placement Success: A Comparative Analysis of Ensemble Methods, Feature Engineering, and Business Impact Abstract Predicting graduate student placement is critical for educational institutions aiming to enhance student outcomes and optimize resource allocation. This study develops and evaluates machine learning models for graduate placement prediction through a multi-faceted approach that integrates methodological rigor with practical business applications¹.
Utilizing a dataset of 215 graduate students, we systematically compared the performance of individual classifiers against advanced ensemble methods.
Artificial IntelligenceBusiness StrategyFuture of Work
The Augmented Future: AI as a Partner in Business Innovation The conversation around Artificial Intelligence often focuses on replacement - machines taking over tasks that humans used to do. But I believe there’s a much more exciting story unfolding: AI Augmentation. This approach positions AI not as a substitute for human intelligence, but as a powerful collaborator that enhances our cognitive capabilities and helps us achieve more than ever before.
My AI and Web Development Journey I’ve recently embarked on an exciting journey into AI and web development, leveraging my experience as a product manager at Ooredoo to explore new technical frontiers. Having successfully managed digital products and led cross-functional teams throughout my career, I’m now building the technical skills to complement my business expertise.
The Beginning: From Product Management to Code My background in managing digital content and new verticals at Ooredoo gave me firsthand exposure to technology implementation, but always from the business side.
How I Built a Customer Churn Prediction App for Telecom Companies I recently completed a fascinating project for my AI and Decision Making course in my Master of Business Analytics program, and I wanted to share this journey with you all. Our team tackled a real-world business problem: customer churn in the telecommunications industry.
The Challenge: Predicting Who’s About to Leave Telecom companies face a constant battle to retain customers in today’s competitive market.