Data science consulting
Investing and related financial services
We have experience in research & development for the investing domain, especially value investing, crowdfunding, angel investing, and venture capital.
Note that we do not take on projects related to cryptocurrencies or NFTs.
Can your company benefit from our expertise? Send us an email or schedule a meeting.
Examples of past projects
- Monitoring trends in crowdfunded projects on a well-known Dutch crowdfunding website
- Improving automatic labeling of bank transactions
- Generating compliance reports for De Nederlandsche Bank (DNB), the Dutch central bank
- Data quality assurance on bank transaction data and customer data for predictive machine learning
- Vetting data quality of various financial data suppliers for developing robo-advisors
- Predict credit risk for small-sized business loans
- Measuring economic sentiment and visualizing this in business intelligence dashboards
- Real-time pump & dump scheme detection for microcap cryptocurrencies using Twitter data
- Design a framework for papertrading for an educational investment club
- Sentiment analysis on text in domain-specific language, including financial text
Testimonials
“Working with Judith over the past years has been a pleasure on many occasions, when working on text classification for an employer she gave me insightful advice on the state of the art Natural Language Processing tools and also gave me more tailored advice on how these could be implemented in different scenarios. This saved me and the company I was employed by valuable time and energy. I would not hestitate to ask her again for advice on NLP and Finance related analysis.”
— Michel Jansen, data scientist, A.S.R., Utrecht
“Floryn provides business credit and business loans to small and medium-sized enterprises. Our machine learning models allow us to scale our business, while maintaining the quality of our lending portfolio. Judith worked as a Machine Learning Engineer at Floryn for over a year. During that time, she contributed to projects related to credit risk management, compliance and data operations. She was very important in the ML projects that we did. She worked as a “full-stack” ML engineer, which means taking on a project from the exploration and analysis phase until production deployment. She also took on the role as project lead, which includes planning and stakeholder management, where she helped multiple ML projects to completion. In addition to her impressive technical skills in engineering and data analysis, Judith possesses exceptional communication and interpersonal skills, making her a rare and valuable asset to any team.”
— Marijn van Aerle, CTO and Co-founder of Fintech scaleup Floryn