We are looking for talent! Are you interested in joining us?
Analyze the patterns in your data to build predictive models. Think for instance about credit risk scoring, fraud detection and predicting effects of promotions.
Use your sales and operations data to learn what your customer likes, who you should target, where to prevent churn and what kind of promotions are most effective.
Advanced natural language processing techniques to gather business insights from free-text documents.
Objectify and find the optimal flow through a process, aid decision making and simulate alternative scenarios.
Browse through you data and discover the value it holds.
Interact with and visualize your data to get actionable insights.
Advise and training on using R, Python, Spark, Google Cloud and more.
Use your analytics solution in a stable, production ready and scalable environment.
We are a team of passionate, creative and focused individuals.
We all have a different background and a different story of how we got here. The thing that connects us is that we have a passion for analytics.
Having a broad range in backgrounds allows us to deliver projects from start to end in various domains. It also allows us to use different types of software, programming languages, analytical techniques and data infrastructure. We are firm believers in the "pick the best tool for the job at hand" mantra.
Want to get to know us? Give us a call, shoot us an e-mail or come by our offices for a cup of coffee!
We all love experimenting and playing around with data science methods and models. This is important, not only to learn the essence of data science but also to stay on top of the state-of-the-art. However, moving from exploration to solution / production is not always easy.
At dataroots we pride ourselves on our ability to also consistently take this next step and combine this with our experience in making results as easily accessible as possible for the end user.
The phases below highlight how we approach a data science project. The process is iterative and at every step there is extensive collaboration with the client. We highly value transparency and will clearly explain and report on how analysis and modelling was performed.
With the use-case as a starting point, possibilities are discussed and an initial scope is defined.
Analyze, combine and transform the identified sources of information - we work with any volume and type of data.
In-depth data analysis of the provided data along with a feasibility study on the potential of applying data science models to the use-case.
Oral & visual reporting of the findings of the explorative phase.
Using state-of-the-art data science modelling techniques to develop an analytical model with maximum performance.
An analytics model and/or the output of the model is delivered to the client in a way that is fit for audience and purpose. If required, it is deployed in production.
co-founder, experienced data scientist, loves optimization problems, open-source supporter, creative problem solver, father, mountaineer and avid trail runnner
co-founder, statistician, R expert, results-driven & pragmatic, proud father, social, loves nature
Client Engagement / Analytics Project Manager
co-founder, accomplished analytics project manager, lean management expert, improvement oriented, curious, happy father, mountains & climbing email: firstname.lastname@example.org
statistician, engineer, R enthusiast, adaptable problem solver, foodie & passionate traveller
engineer, experienced consultant, enthusiastic about quantitative analysis, goal-oriented, happy mother, enjoys cycling and climbing
econometrician, R developer, free software enthusiast and heavy metal listener
challenge driven, big-data/open-source enthusiast, scala supporter & ice hockey player
mathematician, huge spark fan, passionate about analytics, result driven, fast learner, musician
engineer, computer science, pythonista, deep learning enthusiast, guitarist in a band and chess player