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I am a data scientist that is highly interested in the practical applications of advanced modelling and optimization techniques. I hold a master's degree in econometrics and have completed a large variety of data analysis projects in both large companies in the Netherlands as well as in a freelance setting. I personally believe that the greatest challenge that a good data scientist faces is not the implementation of algorithms and models, but translating a real life problem to one that can be solved using data science techniques and communicating results in such a way that the client can both understand the process and efficiently implement the findings. I have experience in interpreting and advising on results to both businesspeople with little knowledge of statistical modelling and experts in the field and pride myself on reporting results in such a way that they are both interesting and directly able to be used. When it comes to a project I like to select the tool that is most approriate for the task at hand. Some of the tools I am proficient in include R, Pyhton, Stata, Matlab, SQL, PIG and Hive. Due to my background in Econometrics have extensive knowledge of modeling techniques. Some of these that I have worked with intensively include panel data regressions (fixed and random effects), simultaneous equation models, stochastic linear programming, maintenance planning and optimization, survival analysis, dynamic econometrics, bayesian statistics and a variety of both supervised and unsupervised machine learning techniques like K-means, (regularized) logistic regression, support vector machines, decision trees/forests, naive Bayes and neural networks. Some examples of projects I have succesfully worked on in the past include a project for bol.com ('the amazon.com of the the Netherlands') where I advised on optimal promotion techniques to be used for all 15 million products offered and a project at Royal Wagenborg which resulted in a Monte Carlo simulation tool
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The consultants, consultancies, agencies & SIs in our global network execute important systems and data project work including, but not limited to:
- Select and deploy a data warehouse solutions like Snowflake, BigQuery and others
- Set up dashboards in Power BI, Tableau or Google Data Studio
- Power customer data collection using RudderStack, Segment, Tealium or similar
- Implement product analytics solutions like Mixpanel or Amplitude
- Build data pipelines in Azure, AWS and Google Cloud
- Transform data using dbt, Fivetran and similar
- Plus heaps of data & analytics services reaching into complex AI/ML initiatives
The MeasureMatch global network of professionals is highly skilled, many are certified service providers with proficiencies across more than 3,000+ tools and products including the Adobe Experience Cloud stack, the Google Marketing Platform and Google Cloud suite of tools, Segment, Mixpanel, Intercom, Hubspot, DOMO, Power BI, Tableau and 1,000s more.
It's easy and incredibly fast to find and book an incredibly valuable professional services partners through the MeasureMatch marketplace platform.
And, because we handpick and screen all service provider applicants, or they are invited by technology vendors participating in the MeasureMatch Partner Exchange, we're seeing more than 95% of contracts rated 5 full starts by clients (as of September 2023).
Whether it's Salesforce, Microsoft Dynamics, HubSpot, Intercom or Freshsales skills you need - to name a few in one of our most popular services categories (CRM & Marketing Automation), MeasureMatch has the skills and pros you need.
3,000+ skills across 10,000+ systems & data services professionals are accessible via the MeasureMatch marketplace and partnerships platform.
You'll have direct, seamless and flexible access to a highly-skilled, verified workforce of independent consultants, consultancies, agencies and even system integrators, each armed with the skills to advance customer and product data collection, data engineering, data pipeline management, marketing analytics, marketing automation, personalization, programmatic media investment management and much more.
On one side, through a Client account, the platform is for business leaders who need to solve for, address and advance any number of cloud software systems and/or data challenges, and they are open to embracing service providers located anywhere across the globe to get the work done.
On another side, with a Service Provider account, MeasureMatch is for consultancies, agencies, system integrators and independent consultants to provide exceptional systems & data professional services.
The third entry point into MeasureMatch, the Partner Exchange, is for SaaS and enterprise software vendors, and a growing number of other types of organizations, to use a set of tools grow and deepen service provider relationships for customer success, go-to-market partnerships, and more.
Every one of the MeasureMatch network of service providers has been through a stringent application process, including an interview to ensure relevance of Service providers and quality of delivery. And each is fully aware of the how the platform works, including the commercial framework.
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