Customer Data Analysis & Insights
Publicada el 2026-07-29
Descripción de la oferta
I have a rich set of customer data—demographic profiles, detailed transaction histories, and on-site behavioral logs—that I need transformed into clear, actionable insights. My goal is to understand who my customers are, how they buy, and what drives their engagement so I can sharpen marketing, retention, and product decisions. Here’s the flow I have in mind. You will first explore, clean, and merge the three data sources, making sure key identifiers align. From there I expect descriptive statistics, visual exploration, and segment discovery. Once the groundwork is solid, I’m interested in deeper analysis such as cohort trends, lifetime value estimates, or predictive models if the patterns warrant it. I work comfortably with Python (pandas, scikit-learn), SQL, or R, and I’m happy to review results in Jupyter, a clean slide deck, or an interactive Tableau/Power BI dashboard—whatever best showcases the story in the numbers. Deliverables: • A well-commented notebook or script that reproduces all cleaning and analysis steps • A concise report or dashboard highlighting key findings, charts, and recommendations • The final, processed dataset ready for future use Acceptance criteria: • All three data types—demographic, transaction, and behavioral—are integrated without loss of essential fields • Insights are supported by clear visuals and, where relevant, statistical significance or model metrics are provided • Code runs end-to-end on my sample environment with no missing dependencies If you’re experienced in data wrangling and storytelling, I’m ready to share a sample extract so you can gauge complexity. Let’s turn raw customer records into decisions I can act on.
Skills
Fuente original: freelancer