- π Iβm currently working as Data Analyst
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- Steam Recommendation System using Content-Based and Context-Aware Factorization Machines - Recommendation System for Steam redommendation using Context-Aware Factorization Machine algorithm with Monte Carlo Markov Chain optimization to predict rating given by user's preference. Comparing with Novelty and Serendipty enhanched Content-Based Recommendation system, Neighborhood CF and Alternating Least Square for implicit data feedback
- RFM Segmentation and Customer Lifetime Value Modelling - Perform RFM Segmentation and Forecast Customer Lifetime Value, Customer Churn Rate, Customer number Purchase, and Future Sales using Beta-Geofitter/Negative Binomial Distribution (BG/NBD) Model
- Auto Fraud Insurance Detection - This research goal is to build binary classifier model which are able to separate fraud and non-fraud transactions.
- Gaussian Mixture Clustering from Scratch - How the algorithm of Expectation-Maximization in Gaussian Mixture works for clustering.
- Customer Acquisition Cost Regression model - Regression models for predicting acquisition costs per customer(CAC) using the effectiveness of multivariate analysis and lasso feature selection techniques in improving the MSE Loss.
- Statistical Analysis β Deductible Amount Consideration Towards Several Health Conditions - Statistical Analysis on OLS and Relationship between Deductible Amount toward Health Conditions