Webinar 3: Learn How to Craft a Standout Data Science CV
- Last updated on November 28, 2024 at 11:48 AM
About this Webinar
In this third session of the Data Career Masterclass, "Crafting a Standout Data Science CV", learners gained insights on how to craft a resume that makes a lasting impression in the competitive data industry. Kishawna Peck, founder and CEO of Womxn in Data Science, shared practical advice and strategies for creating a CV that resonates with hiring managers.
Key Takeaways:
Resume Structure: Use a clean, single-column layout with clear sections for contact details, technical skills, experience, projects, and education.
ATS Optimization: Most companies use ATS, so ensure your resume is ATS-friendly with clear headers, straightforward skills, and no overly creative elements.
Quantify Achievements: Highlight your impact with metrics (e.g., "reduced reporting time by 40%").
Hidden Requirements: Learn to identify and reflect job description cues like "fast-paced environment" or "collaboration" in your resume.
Leverage LinkedIn: Use LinkedIn to identify target companies and potential referrals to strengthen your network.
Next Steps:
- Optimize Your Data Science Resume: Access a step-by-step guide to refine your resume for top data roles. It includes prompts for analysis, ATS optimization, and self-assessment. Get your guide
- Join the Conversation: Connect with peers and industry professionals in the community thread to ask questions, share experiences, and network. Data Career Masterclass - Let's Connect Thread