consulting
My mission is to empower organizations to create valuable data products that cater to their users' needs. I strive to foster long-term success through structured training programs, personalized 1:1 coaching sessions, and hands-on implementation support, primarily targeted at scientists and engineers with deep domain expertise and a strong grasp of their data's intricacies, who would benefit from assistance in areas like predictive modeling & machine learning, data visualization, and professional software development to achieve their desired outcomes efficiently.
Whether you are new to the world of data science or seeking to enhance your existing capabilities, I'm here to guide you through the process. Have a look at the different consulting packages I offer - and if you had something else in mind, feel free to contact me anyways!
Discover the Possibilities
Understand the potential of machine learning (ML) for your organization and get started with your data science journey:
- Get an overview of how ML works and explore the opportunities it offers.
- Together, we'll identify data product ideas with the highest potential impact, while ensuring their viability within your unique business context.
- Determine actionable steps to prepare your data & infrastructure for your first ML project.
Develop Data Science Expertise
For long-term success, investing in in-house data science capabilities is key:
- We'll assess the specific skills required to achieve your ML goals and determine the right roles for your team (Data Scientist? ML Engineer? What's the difference?).
- Get support in hiring top talent with compelling job postings and technical candidate assessment.
- Empower existing employees to transition into data science roles through tailored ML training programs.
Implement and Succeed
An astonishing number of ML projects fail to deliver the ROI business leaders hoped for. As your trusted coach and sparring partner, I support your internal data scientists throughout the discovery, development, and deployment process to make sure your prototype makes it into production successfully:
- Refine the conceptual design to ensure your data product addresses your users' needs and solves the problem effectively.
- Advice on software architecture, comprehensive code reviews, and hands-on implementation support (using Python).
- Together, we'll integrate the ML solution into your workflows and set up monitoring systems for future success.