The Ethan Walker template is built for data scientists and ML engineers who need to explain complex work with clarity and credibility.
Use it to showcase projects with methodology, results, and links to artifacts—without turning your portfolio into a wall of jargon. The layout is optimized for fast scanning by hiring managers while still giving technical reviewers the depth they want.
What you get
A clean structure for turning technical work into an easy-to-read story.
- Hero with metrics for headline wins (accuracy lift, revenue impact, papers, talks).
- Deep-dive project cards with space for problem → approach → evaluation → outcome.
- Skills visualization across languages, frameworks, and cloud platforms.
- Research + publications sections for academic credibility and thought leadership.
How to present your work (recommended)
- Problem: what you were solving and why it mattered
- Data: sources, labeling, constraints, and quality checks
- Method: baseline, model choice, and experimentation setup
- Results: metrics, lift, trade-offs, and what you shipped
Customization toolkit
- Choose from professional-modern, data-dark, research-light, tech-blue, or minimal-slate themes.
- Toggle between card-based and timeline layouts for experience and projects.
- Embed charts, GitHub gists, notebooks, or links to dashboards and demos.
- Schema-driven JSON makes migration easy from existing portfolios or resume parsers.
Ideal for
- Data scientists showcasing ML models and analytics projects
- ML engineers demonstrating production deployments
- Research scientists publishing findings and papers
- Analytics consultants building client credibility
Launch checklist
- Deploy and claim your subdomain
- Add your hero metrics, bio, and top 3 projects
- Fill skills, publications, and experience sections
- Connect your domain and publish
Launch support: Need help migrating from an existing portfolio or resume? Our team can help import content during your trial and share proven templates for common data-science writeups.