Empowering business consulting with data science
Open source platform for consulting and data science
What is it
The open source Baken Platform makes consulting and data science accessible and shareable
- Up-to date market and consulting insights through online, interactive notebooks, dashboards and databases.
- Company wide, centralized access to consulting research and data science.
- Infrastructure to create and share new data science analysis across your company.
How clients use it
- In the Insurance sector, we have launched the Baken Platform with our affiliate Baken Adviesgroep.
- Among clients are Achmea, Aegon and De Goudse.
- By combining data science consulting with the tools to do it yourself, the Baken platform solution is ideal for companies looking to grow data science expertise.
How we built it
- Our platform is an open source extension of Flask which automatically updates and serves data science products.
- Data acquisition by webscrapers, API wrappers and storage in in SQL databases,
- Data processing by pandas, machine learning,
- Plots showcased in dashboards, Jupyter notebooks to presentations, reports
About Us
Baken AI empowers business consulting with data science. Leveraging our cross-sector experience we build machine learning applications for companies in insurance, healthcare and industry.
Baken AI was founded in 2021 by consultants and data scientists from Baken Adviesgroep and Convectis, two consultancies with a 10 year track record in various sectors.
While Baken AI is focused on building cross-sector machine learning applications, Baken Adviesgroep offers research and consulting services in the financial sector. By pursuing these activities in a new venture we are able to structurally grow the value of both offerings.
The Baken AI team is a mixture of young talent and experienced consultants with backgrounds from Econometrics, Chemistry and Economics.
It is our mission to make the best data science consulting and solutions accessible to businesses and institutions of all shapes and sizes.
Daniel Koudijs
Consultant and Economist with expertise in Monetary- & Macroeconomics, Insurance and Fintech. 5y experience providing Strategy, Research and Market Intelligence solutions to insurance sector.
MSc Economics
Hugo Evers
Specialisation in Machine Learning for Healthcare, Data Engineering, and Dashboarding. Previous experience working as Data Scientist Intern Health Outcomes Lab @ Roche.
MSc Econometrics & BSc Chemistry
Lucas Berndsen
Background in Data Science, specialized in: Machine Learning, NLP, Forecasting, Webscraping and Data Extraction. Thesis research focused on Machine Learning methods for fraud-detection.
MSc Econometrics
Ben van Vulpen
Background includes commercial director (ING), financial & strategic restructuring and management consultancy. Active on several advisory boards for sustainable scale-up businesses.
MSc Economics
Sjoerd van den Beukel
Background in Financial Econometrics & Data Science. Specialized in predictive modeling and customer lifetime values. Experience in building AI tools for customer analysis to optimize direct marketing campaigns.
MSc Econometrics
Stefan Pieper
Background in Econometrics and Artificial Intelligence. Specialized in financial time series modeling and risk insurance analysis in python and R. Thesis focused on high frequency energy price forecasting.
MSc Econometrics & MSc Artificial Intelligence
Kees
Even though Kees looks like a labradoodle he is actually a bernedoodle crossed with a pirate, he only works with Rrrr.
Just kidding, Kees is cudly and cute and even though he doesn’t know how to code, he still Excels in his field.
Puppy cursus basis I&II