Data Analytics - Machine Learning
Potential Customer Segmentation Analysis
In this project, we hope to gain insight into customer segments and patterns by analyzing market data on buying behaviors. This will help us enhance and refocus our marketing efforts by being able to identify the needs of each segment, reach them most effectively, and address any pain points they face. Students will research customer’s behavior through sales trends of various companies, analyze the data, create predictive models, and provide recommendations for how to move forward. This will involve several different steps for the students, including: Analyzing market data to define different segments based on customer needs. Choosing appropriate metrics to examine the data, and analyzing it using data analysis software to identify trends and correlations. Creating predictive models for various outcomes the market may face. Creating a report with all findings from analysis conducted, including recommendations for next steps.
Staffing and Volunteer Recruitment Optimization
Our company has dozens of staff members and volunteers with diverse backgrounds and experiences. However, we have had some challenges recruiting top-quality talent. Finding individuals who can invest their time in our mission can be costly. This project will involve several different steps for the students, including: Documenting the current state of our staff and volunteer recruitment process, from the time the resource need is identified to the time the position is filled. Creating visualizations such as data flow diagrams to identify strengths and pain points in our recruitment process. Assessing our current process and making recommendations for improvements and efficiencies. Documenting and mapping a target state process. Suggesting feedback mechanisms to gather input from staff, volunteers, and applicants.