McGill MMA - Enterprise Data Science & ML in Production
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- Montreal, QC, Canada
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datasectuals
datasectuals PublicPredicting whether or not a person deposits money after a marketing campaign. Gain insights to develop the best strategy in the next marketing campaign
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Goodreads_Book_Recommendation
Goodreads_Book_Recommendation PublicMGSC 695 Enterprise Analytics - Winter 2023 - Group 2
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Vehicle-Claim-Fraud-Detection
Vehicle-Claim-Fraud-Detection PublicMMA5 - GROUP5 - INSY695 Final Project
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Football_Transfermarkt
Football_Transfermarkt PublicINSY 695 - 076 - Enterprise DS II Group Project
Repositories
- Customer-Personality-Analysis-2.0 Public
Customer Personality Analysis 2.0 refines customer segmentation and marketing strategies using advanced clustering and causal inference models. This project enhances customer behavior analysis to deliver personalized marketing, improve engagement, and boost sales, with a focus on flexible segmentation and real-time model updates.
McGill-MMA-EnterpriseAnalytics/Customer-Personality-Analysis-2.0’s past year of commit activity - Multi-Class-Prediction-of-Obesity-Risk Public
Advanced Multiclass ML pipeline predicts obesity class gamifying healthcare with real-time data (Apache Kafka), Azure ML, robust MLFlow Experiments & Tracking, Docker deployment,, FastAPI, Poetry, drift management, blue-green deployment, Streamlit UI, SHAP Dashboard, Error Analysis, Governance, and Market Analysis
McGill-MMA-EnterpriseAnalytics/Multi-Class-Prediction-of-Obesity-Risk’s past year of commit activity - Spotify-Music Public
An end-to-end ML project that generates popular music recommendations for radio stations
McGill-MMA-EnterpriseAnalytics/Spotify-Music’s past year of commit activity - INSY695-W24-078-Group-2 Public
McGill-MMA-EnterpriseAnalytics/INSY695-W24-078-Group-2’s past year of commit activity - DataCo_Supply_Chain Public
This project focuses on leveraging the DataCo Smart Supply Chain dataset from Kaggle to build predictive models that serve critical business functions: forecasting monthly demand, detecting fraudulent orders, and clustering orders to identify common traits in fraud cases.
McGill-MMA-EnterpriseAnalytics/DataCo_Supply_Chain’s past year of commit activity - Revenue-Radar Public
Predictive modelling for customer conversion and transaction revenue at Google's e-commerce shop
McGill-MMA-EnterpriseAnalytics/Revenue-Radar’s past year of commit activity - fourchetteurs Public
McGill-MMA-EnterpriseAnalytics/fourchetteurs’s past year of commit activity - hotel_cancellation_ML2 Public
Predicting hotel booking cancellations at the time of reservation, to optimize revenue through dynamic pricing strategies and overbooking management.
McGill-MMA-EnterpriseAnalytics/hotel_cancellation_ML2’s past year of commit activity - targeted_marketing Public
McGill-MMA-EnterpriseAnalytics/targeted_marketing’s past year of commit activity - customer_churn_2024 Public
The "Customer Churn 2024" project, part of the McGill-MMA-EnterpriseAnalytics program, aims to analyze and predict customer churn using advanced data analytics. The project involves identifying key factors of customer attrition, developing predictive models, and providing actionable insights to improve retention strategies and business performance.
McGill-MMA-EnterpriseAnalytics/customer_churn_2024’s past year of commit activity
