Currently working at emtelligent as a Solutions Architect, helping bring medical NLP into reality to enable clinicians to care for patients better.
Also serving as Lead Data Scientist at Pawsperity Biotechnologies, a start-up aimed at improving the health and well-being of our furry family members.
See my portfolioAbout
I love a good challenge and helping people solve problems, or figure out ways to make things better.
To do this, I always start by focusing on the problem domain and key goals, and spend a lot of time asking “why” and “how”. If I've learned one thing, it's that throwing algorithms at data is rarely what results in a breakthrough. It's crucial to take the time to understand a problem space thoroughly and design a well-informed approach. Decisions and conclusions have real consequences.
I have 13+ years of experience working on cross-functional teams to turn data into actionable insights and knowledge. My work experiences lies in the biomedical/health research and automotive manufacturing industries, and my interests span many other domains including human behaviour and finance.
Aside from this, I enjoy computer games, playing piano, books, thoughtful discussions, international travel, and learning how to live life better.
If you're looking for someone with excellent communication skills, a drive towards clarity and quality, and a strong data science background with the ability to learn quickly — please feel free to reach out. I'm always open to chatting about interesting problems, books worth reading, and new opportunities for making a positive impact on the world.
Services
Portfolio
- All
- Competition
- Data Story
- Package
- Publication
- Visualization
Get in touch!
Interested in working together? Please send me a message and I'll get back to you as soon as possible.
Discovery is about understanding if and how data can be used to improve your business's strategy, operations, initiatives, and other processes.
Got an idea for how ML might improve your business, but don't have the desire or expertise to try it out yourself, and you don't want to make a permanent hire? A one-off PoC project may be the right in-between solution.
You have data, solid data capabilities, and a sense that data-driven business opportunities are waiting untapped.
But you're not sure how to translate those opportunities into analytics, whether you have the right data, how to plan your approach, what to expect, or what "gotchas" to look out for.