Customer Service Analytics Project

I have a sizeable set of customer data that I need turned into clear, actionable insight so I can raise the bar on our service experience. My main objective is to pinpoint where we can shorten response times, create more personalized interactions, and resolve problems faster—all backed by solid analysis rather than guesswork. You’ll start by cleaning and structuring the data, then explore it to surface patterns that directly affect response time, personalization possibilities, and problem-resolution success rates. I’m expecting a concise findings deck (slides or brief report), the supporting code or notebooks (Python, R, or SQL—whatever you prefer), and a one-page action plan that translates the numbers into concrete next steps my support team can execute immediately. Your work will be considered complete when: • The analysis is reproducible with the files you supply. • Key drivers for each of the three focus areas are clearly explained with visuals or metrics. • Recommendations are specific, measurable, and aligned to those drivers. If you bring experience in customer analytics and service KPIs, this should be a straightforward assignment. I’m ready to get started as soon as you are.