My Projects

Fraud Detection Report

In this project, we developed a comprehensive fraud detection model using a methodical approach outlined in five primary stages: data preparation, feature engineering…

Unsupervised anomaly detection (fraud) algorithm

This project has good example algorithms to do a forensic-type analysis, looking for anomalies in a dataset. We first do some data cleaning (exclusions, imputation, don’t…

Optimizing Online Sport Retail Revenue

Sports clothing is a booming sector!

Analyze International Debt Statistic

It’s not that we humans only take debts to manage our necessities. A country may also take debt to manage its economy. For example, infrastructure spending is one costly…

FLAT RATE PRICING

This project using hypothesis to run A/B testing.

Credit card applications

Commercial banks receive a lot of applications for credit cards. Many of them get rejected for many reasons, like high loan balances, low income levels, or too many…

Machine Learning for Uplift

This project will provide insights into the relative strengths and weaknesses of each modeling approach in the context of direct marketing, with a particular focus on…

CG Propensity

CG has tasked me with developing a predictive model utilizing the “Space Pirates” game data. The primary objective is to identify which gamers are more or less inclined to…

Conjoint

This assignment uses uses the MNL model to analyze (1) yogurt purchase data made by consumers at a retail location, and (2) conjoint data about consumer preferences for…

Pentathlon: Next Product to Buy Models

PROJECT SUMMARY

Segmentation Methods

Market segmentation is the process of dividing a broad consumer or business market, normally consisting of existing and potential customers, into sub-groups of consumers…

Intuit Upgrade Notebook

This analytical examines the efficacy of an upsell campaign targeting small businesses to upgrade to the latest QuickBooks software, based on a dataset of 75,000 entities…

Key Drivers Analysis

Key Driver Analysis (KDA) is a statistical technique used to determine the factors (or “drivers”) that most significantly impact a particular outcome or dependent variable.…

A Replication of Karlan and List

The data set contains 50,083 observations and 51 variables. The key variables are as follows:

Poisson Regression Examples

Blueprinty is a small firm that makes software for developing blueprints specifically for submitting patent applications to the US patent office. Their marketing team would…