Data Analyst | Research Market
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Experienced in assessing business metrics, allocating targets, and developing comprehensive reporting systems. Proficient in sales data analysis, cross-functional collaboration, and proactive detailed reporting. Skilled in building customer segmentation evaluation metrics, database management, and automating processes with Python.
I developed a customer classification mechanism based on the Recency, Frequency, Monetary (RFM) model to manage and update new customers, classify potential future customers, and identify lost and at-risk customers, thereby providing direction for the Sales department. Additionally, I re-evaluate existing customers who have purchased additional SKUs on a weekly, monthly, quarterly, and yearly basis. I have also automated several time-consuming processes, such as updating customer information and classifying customers, using Python.
At the University of Social Sciences & Humanities - National University. Ho Chi Minh City
2020 - 2024
