Expert Data Analyst Needed for Email Classification Project

Project Description:
I am looking for a skilled Data Analyst to help develop a system for classifying email messages as SPAM or HAM. This involves downloading data from a public source, processing it to extract and compute various features, and analyzing these to determine patterns indicative of SPAM.

Responsibilities:
Download email data from a specified public archive.
Create R functions to extract and calculate over 20 variables from each email, such as the number of recipients, percentage of capitals, and URL presence.
Analyze this data to explore variable relationships and determine SPAM/HAM status.
Generate visual representations of the data and analysis findings.
Provide a detailed report on the methodologies used, results obtained, and insights gained.
Required Skills:
R Programming: Must be highly proficient in R for complex data manipulation and analysis tasks.
Data Extraction: Experienced in skillfully extracting and processing data from large datasets.
Statistical Analysis: Capable of applying statistical methods to analyze and interpret data.
Machine Learning: Should have a foundational understanding of machine learning techniques relevant to classification.
Data Visualization: Expertise in creating clear and insightful visual data representations.