The Master of Business Analytics (MBAn) at MIT Sloan empowers students to apply advanced data science to real business problems. These projects cover everything from forecasting and classification to simulation and operational optimization in finance, retail, healthcare, and logistics.
Predictive Churn Modeling for Subscription-Based Services
Price Sensitivity Analysis Using Regression and Clustering
Supply Chain Demand Forecasting with LSTM Neural Networks
Real-Time Fraud Detection Using Anomaly Detection Techniques
A/B Testing Platform for Marketing Campaign Optimization
Customer Lifetime Value Modeling for E-Commerce Brands
Inventory Optimization Using Reinforcement Learning
Text Analytics for Product Review Sentiment Classification
Churn Prediction Dashboard for Telecom Customers
Credit Risk Scoring Model Using Gradient Boosting Machines
Optimizing Call Center Operations Using Queueing Theory
Sales Forecasting Across Retail Chains Using Time-Series Analysis
Behavioral Segmentation for Retail Loyalty Programs
Feature Engineering Pipeline for High-Dimensional Datasets
Data-Driven Recommender System for Cross-Selling in Banking
Dynamic Pricing Engine for Ride-Sharing Services
AI-Powered Resume Screening for Recruitment Automation
Logistics Route Optimization Using Genetic Algorithms
Optimization of Ad Spend Allocation Across Digital Channels
Forecasting Store Traffic Using External Weather and Event Data
ML Model Drift Detection and Monitoring Strategy
Deep Learning Model for Defect Detection in Manufacturing
Interactive Dashboard for Tracking ESG Investment Metrics
Fraud Risk Scoring in Insurance Claims Using XGBoost
Predictive Maintenance Model for Smart Factories
Need help with feature engineering, model optimization, or dashboard design? Collexa guides MBAn students through their analytics journey.
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