Customer Behavior Data Analysis
Budget: $750 – $1,500 USD
I’m looking for a freelancer who can add solid data-analysis functionality to my project. My main goal is “Okkk,” and to get there I specifically need help analysing customer behavior data.
Here’s what I have in mind:
• Build a repeatable workflow that ingests my raw customer-behavior datasets (CSV, spreadsheet, or SQL table).
• Clean, transform, and enrich the data so it’s ready for exploration.
• Surface key metrics—churn, retention, purchase frequency, cohort trends, and lifetime value—through clear visual dashboards or notebooks.
• Deliver a concise insight report that highlights actionable findings and next-step recommendations.
You’re free to use Python (pandas, NumPy, scikit-learn, Matplotlib/Seaborn, or similar) or R if it suits you better; the main thing is that the code is well-commented and easy for me to run again with fresh data.
Here’s what I have in mind:
• Build a repeatable workflow that ingests my raw customer-behavior datasets (CSV, spreadsheet, or SQL table).
• Clean, transform, and enrich the data so it’s ready for exploration.
• Surface key metrics—churn, retention, purchase frequency, cohort trends, and lifetime value—through clear visual dashboards or notebooks.
• Deliver a concise insight report that highlights actionable findings and next-step recommendations.
You’re free to use Python (pandas, NumPy, scikit-learn, Matplotlib/Seaborn, or similar) or R if it suits you better; the main thing is that the code is well-commented and easy for me to run again with fresh data.