Entrepreneur. PhD in machine learning. Well connected in the Berlin startup scene.
I'm the director of Data Science Retreat (DSR). I teach on how to extract value from data. I'm a machine learning PhD doing predictive modeling (customer lifetime value). I have a large network of friends (see mentor list at DSR) who are world-class at what they do (which is often specialized, hard-to-get-anywhere-else expertise). I also train budding data scientists and present them to companies.
Why should I try to find stories in my data? I have some data. Let’s brainstorm what stories we could find in it! How do I prep my data so we can dig into it? How do I detect and correct data quality issues? Can you sit down with my data science team and dig into my data to find cool stories? Can you teach them how to do it? My data is pretty sensitive, can I still find interesting things I can share with the world? How do I visualize the stories I found? When do I involve our PR team? What reporters and outlets should I contact? What’s my data comms strategy? Where else can I use the stories I found in my data?
If your startup has a barrier of entry that is mostly technology, you probably have a deep tech startup. Most startups don't (example, ecommerce, marketplaces). Beware that investors may perceive this as increased technical risk
Increasingly data is the most valuable kind of intellectual property -- even more valuable than trademarks, trade secrets, and patents. But data is a complex asset. I’m here to help you manage it, addressing questions like these:
I have some data. What should I do with it? I have some data and I know what I want to do with it. Where do I start? Big data, machine learning, data science -- I see lots of hype and buzzwords and vendors, but what does it really mean for me and my company? How should my data pipeline look like? What other data should I be collecting and why? How do I monetize my data? Are there engagement and privacy implications? I’m a startup for data scientists. Can you give me feedback on my product? What other data sets should I bring in to augment my own data? I’d like your opinion on this wearable/ IoT thing/ data thing we’re thinking about.
Jose and I collaborated in the EU funded research project LarKC, building the Large Knowledge Collider, an infrastructure for very large scale reasoning with data on the Web. One of the exciting aspects of that project was the collaboration between computer scientists and cognitive scientists. Jose was absolutely crucial in bridging the gap between those two communities. I remember very well the first meeting where he attended. I assumed he was a psychologist (since he came from MPI), but he kept asking all these hard-core techie questions! Since that first meeting, Jose has continued to impress me with his breadth of knowledge and skills that span different disciplines. He has also impressed me with his creativity in experimental design, with his perseverance in the face of experimental difficulties, and with his intellectual honesty and integrity. It earned him a comment from the project reviewers that they found it refreshing to see somebody give a lucid analysis of negative experimental results, and that they found that analysis more insightful than yet another haleluja-report. I can warmly recommend Jose as a creative and highly capable scientist.
