Mary Knoeferl

If you're trying to break into data analytics, your portfolio projects serve as the proof of concept that you have the skills to do the job. But it can be hard to know whether your work is clear, technically strong, or compelling enough to show hiring managers that you're the right candidate for the job.

That's where I come in. I'll take a deep, thoughtful look at your project and give you feedback that moves you forward. You can expect actionable insights from someone who teaches and hires data analysts. After your review, you'll walk away with a roadmap of exactly what to do to improve your project, so you're not guessing or overwhelmed.

What's Included:

1. Technical Accuracy Check: I check whether your work is technically sound and aligned with industry expectations (Excel, SQL, Python, and dashboards).
2. Project Structure & Storytelling Check: I review how well your project communicates the problem, approach, findings, business implications, and final recommendations.
3. Visualization & Dashboard Quality Check: If applicable, I evaluate the chart selection, readability, color usage, layout, clarity, and storytelling of your dashboard.
4. Strengths & Opportunities: I provide an honest, supportive breakdown of your project's strengths and areas for improvement.
5. Detailed Action Steps: I'll give you clear recommendations so you know exactly what to fix or improve.