This is a digital space to showcase my analytical reasoning. I'd like to venture into people analytics because my work experiences revolve around managing people & business resources in IT industry. In a world full of data, I will make sense of it and turn it into actionable & smart decisions.
Individual employee Key Performance Indicators (KPIs) are metrics that can assist in tracking the ability of your employees to meet your expectations as well as their impact on the business objectives. In my case study, dataset are equipped with employees information. Can we predict employee KPI? Let's find out
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Customer is the one of pivotal part in business. Analyzing customer data and turning it into actionable insight is important so that business could make decisions to improve customer experience. Customer churn is an important metric to track because lost customer means lost revenue. My case study is about analyzing telco customer and predict whether the customer stay with current telco or opt out to other telco.
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I really enjoy analyzing sentiment as feelings are very close to us human. Especially in this case study whereby I analyzed latest sentiment about Kim Seon Ho on Twitter using Natural Language Toolkit (NLTK). Will his reputation survived after huge personal controversy? Data will tell us!
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