NUS MSBA Professional Consulting Capstone Project
The industry-linked professional consulting capstone projects analyse and provide solutions to today's real-world business analytics problems. It enables students to immerse themselves in a real-world business situation and contribute constructively back to the Business Analytics community.
At the end of the Professional Consulting Capstone Project, NUS MSBA students will present their Business Analytics Capstone Projects through a gallery walk of posters display at the Business Analytics Centre Symposium (BACS), previously known as Business Analytics Technical Evening (BATE).
BACS is an excellent platform for students to interact with industrial partners, network with analytics professionals and meet potential employers.
These BA projects feature challenging real-world analytics use cases from different industry sectors such as finance, insurance, healthcare, information technology, manufacturing, logistics, hotel, government, etc.
NUS MSBA Students' Capstone Project Samples Across Different Verticals
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POI Recommendation for Ride-hailing Drivers Using Markov Decision Process with Dynamic Sharding - Chen Keru |
Beauty Trend Engine: Transfer Learning With Transformers - Amit Prusty |
Big Data Solution to Enable Self-Service Analytics by Front-line Sales Teams - Suhwan Chung |
Automated Fact Check for Fake News Detection - Kevin Susanto |
Robocop: ML-based Prediction of Publisher Policy Violations - Swetha Narayanan |
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Activity Graph Modelling: A Novel Framework for Predicting Internet User Identity - Xiao Weizhang Bertrand |
Understand Consumers' Online Behaviours via Machine Learning - Mo Xiaofan |
Explore Predictive Analytics for Digital Customer Acquisition - Sudharsan Ganesh Thyagaraj |
Data Analytics on Customer Segmentation in Retail Banking Industry - Liu Xijie |
Machine Learning Algorithms Application in Customer Retention Prediction for Bank - Shi Haohui |
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Alternative Credit Scoring using Unstructured Data and Deep Learning - Shivam Bansal |
Criminal Bitcoin Address Classifier - Onni-Pekka Niemela |
Optimizing Anti-Money Laundering Alert Monitoring Systems Using Machine Learning - Prateek Mohta |
Liquidity Study in the Derivatives Market - Goh Jenn Yang |
Booking Prediction Using Credit Card Transactions - Maanas Sunil Prabhakar |
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A Data-driven Methodology for Influenza Outbreak Detection and Prediction - Lin Du |
Appointment Scheduling at a Specialist Outpatient Clinic of SingHealth - He Wenjing |
Your Pregnancy Care Powered by Deep Learning Models - Yi Suqin |
Development of a Radiology Decision Support System for the Classification of MRI Brain Scans - Zhang Yaoxian Alwin |
Medication Recommender System - Tang Han |
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Optimal Manpower Planning Using Stochastic Programming and AI - Pham Huong Giang |
Improved Revenue Forecasting Utilising Time Series Techniques - James Thornton Laybourn |
Passenger Cancellation Prediction based on Ride-level Features - Qiao Cheng |
Analytics Driver Customer Engagement for Real Estate Services and Solutions - Liang Lingxiao |
Estimation of Process Control Monitoring Parameter and Wafer Yield Prediction - Bhavya Bhambri |
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Advanced Analytics for B2B CRM Based Business Opportunities - Dongyu Zhao |
Regulated Goods Prediction using Machine Learning - Nyoe Hwee Kian Sandy |
JERO Descent: Joint Pricing and Inventory Optimization Engine - Mengzhi Zhong |
Optimizing Promotion Sell-out in the FMCG Industry - Chee Wai Kin Simon |
Machine Learning for Pharmaceutical Sales Forecasting - Mayank Khanna |
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Application of Named Entity Recognition to Improve Efficiency of Image Document Processing - Li Fengzi |
Fake News Detection Using NLP and Machine Learning Approach - Liu Tong |
NLP of Customer Feedback through Different Channels - Wu Dani |
Automatic Categorization of Free Text in Employee Surveys - Lin Laiyi |
Chinese Sentiment Analysis Using Gated Recurrent Unit - Lee Jun Sheng |
The projects showcased are samples of actual students' work. The list is not exhaustive.