Summary

FAQs

• What kind of projects do you take on?

  I handle data analysis, financial forecasting, and marketing analytics. From cleaning messy datasets to building dashboards and predictive models, I adapt the work to your business goals.

• What tools do you use?

  SQL, Python (Pandas, NumPy, Matplotlib), Excel, Tableau, and Power BI are my go-tos. I’ll use whichever best fits your workflow and project scope.

• Can you explain your process?

  I start with understanding your needs, then collect, clean, and analyze the data. From there, I build dashboards or reports, deliver insights, and provide documentation so you can keep using the outputs.

• How do you deliver results?

  I start with understanding your needs, then collect, clean, and analyze the data. From there, I build dashboards or reports, deliver insights, and provide documentation so you can keep using the outputs.

• How do you deliver results?

  Depending on the project, you’ll get dashboards, reports, clean datasets, or presentations. All deliverables are structured to be easy to use and directly actionable.

• Do you provide ongoing support after the project ends?

  Yes. I can provide follow-up support such as updating dashboards, refreshing datasets, running new analyses, or preparing additional reports as your needs evolve

• How do you price your projects?

  pricing depends on scope—some projects are fixed-price (like dashboards), while others are hourly (ongoing analysis or reporting). I’ll always give a clear estimate upfront.

• What’s your typical turnaround time?

  Smaller projects can take a few days, while larger analyses (with modeling and dashboards) may run 2–4 weeks. I’ll agree on timelines with you before we start.