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melokarl

Karl Melo

Recently Published

What Drives Scratch Ticket Sales in the US? Part I - Data Preparation and Exploration
The objective of this data analytics project is to gain a systematic understanding of the factors that explain the variability of scratch ticket sales in the US. We approach the question from the point of view of state lotteries that exclusively distribute this product in the US. Deeper insight into these relationships will help lotteries develop and market scratch tickets that better satisfy the needs of players in different market and customer segments.
Customer Analytics I- Clustering
The first of a series of 4 reports written to demonstrate the value of data and customer analytics to an emerging markets conglomerate with diverse business interests.
Customer Analytics IV - Lifetime Value
The last of a series of 4 reports written to demonstrate the value of data and customer analytics to an emerging markets conglomerate with diverse business interests. The other 3 cover: * Statistical Segmentation * Predictive modelling - customer attrition * Predictive modelling - estimating future spending
Exploratory Data Analysis
Personal project The Perils of Low Income in Today’s America Exploring the Behavioural Risk Factor System (BRFSS) 2013 survey data
Statistical Inference - Social Class vs Family Size
Personal project. Do lower class Americans have more children?
Customer Analytics III - Predicting Customer Spending
The third of a series of 4 reports written to demonstrate the value of data and customer analytics to an emerging markets conglomerate with diverse business interests. The other 3 cover: * Statistical Segmentation * Predictive modelling - customer attrition * Customer lifetime value estimation with R
Customer Analytics II - Predicting Customer Attrition
The second of a series of 4 reports written to demonstrate the value of data and customer analytics to an emerging markets conglomerate with diverse business interests. The other 3 cover: * Customer Segmentation * Predictive Modelling - estimating future spending * Customer lifetime value estimation with R
Customer Analytics I- Clustering
The first of a series of 4 reports written to demonstrate the value of data and customer analytics to an emerging markets conglomerate with diverse business interests. The other 3 cover: * Predictive modelling - customer attrition * Predictive modelling - estimating future spending * Customer lifetime value estimation with R