dandimahendris,Dandi Mahendris,github

Hi there 👋

🔭 I’m currently working as Data Analyst
📫 How to reach me [email protected]
📞 How to contact me +6285229330580

🧪 Projects

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 – Deductible Amount Consideration Towards Several Health Conditions - Statistical Analysis on OLS and Relationship between Deductible Amount toward Health Conditions

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Dandi Mahendris's Projects

auto-insurance-fraud-detection

This research goal is to build binary classifier model which are able to separate fraud transactions from non-fraud transactions.

awesome-github-profile-readme

😎 A curated list of awesome GitHub Profile READMEs 📝

best-readme-template

An awesome README template to jumpstart your projects!

context-aware-factorization-machine-recommendation-system

Recommendation System using Context-Aware Factorization Machine algorithm with Monte Carlo Markov Chain Optimization to predict rating given by user to certain item. Comparing with Content-Based Recsys, Neighborhood CF and Alternating Least Square for implicit data.

gaussian-mixture-from-scratch

Explanate how the algorithm of Expectation-Maximization in Gaussian Mixture works for clustering.

intro-to-probability

Final project intro to probability

regression-model-cac

Regression models for predicting customer acquisition costs (CAC) and the effectiveness of univariate and lasso feature selection techniques in improving the accuracy.

rfm-segmentation-and-ltv-modelling

RFM Segmentation and predicting number of purchases made by customers, customer churn rate, forecasted avg transactions of potential sales and customer lifetime value using Beta-Geofitter/Negative Binomial Distribution (BG/NBD) Model