Project will focus on analyzing customer purchase behavior to uncover insights that can guide our product selection and marketing strategies. Ideal to have completed coursework for data collection, cleaning, customer segmentation, product affinity analysis, purchase trends, customer lifetime value (CLV), and data visualisation.
]]>Available to currently enrolled college students in a graduate program.
]]>Skills you need to utilize are for visualization, data collection, sentiment analysis, data preprocessing, insights.
]]>Skills needs are data collection, mining, data preprocessing, recommendation, A/B Testing and data engineering.
Expected Outcomes:
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We are seeking a talented college student to work on a predictive maintenance project using our equipment data. The goal is to develop a predictive model that can anticipate equipment failures, allowing us to perform maintenance proactively, reduce downtime, and increase operational efficiency.
Ideal Outcome:
The goal of this project is to segment our customer base into distinct groups based on their purchasing behavior and demographics. By doing so, we aim to tailor our marketing strategies, product offerings, and customer service to better meet the needs of each segment, ultimately increasing customer satisfaction and revenue.
This project not only provides valuable insights into our customer base but also offers practical experience in data analysis and the opportunity to make a tangible impact on our company’s marketing and sales strategies.
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