Chapter Manager for Data & Analytics at Inter IKEA and in this role I'm responsible for:- Contributing to the development and operations of multiple global insights products for 62 territories, using transactional data, behavioral data from multiple digital sources, structured and unstructured (social listening, surveys), sales, brand, 3rd parties data.- Leading the development of the right capabilities, principles, standards, and frameworks related to the Chapter.- Set up and expand the community of data scientist, data analysts and data engineers. Lead networking and innovation workgroups to enable community collaboration.- Part of the Responsible AI Workgroup- Span of control approx. 40 FTE (including external staff).Key achievements:- To be added later

The mission of my team: make FRISS a data informed company!Member of the FRISS Senior Leadership team and in this role I'm responsible for:- Data Science, Analytics & Reporting for both all products of FRISS as internal- Setting up and expanding a new department within FRISS- Leading and coaching an international team of (Senior-) Data Scientists and Data Engineers (14 FTE) - both internal as external members- Managing key stakeholders (all internal departments like Customer Success and Finance) and 3rd party relationships (like suppliers and investors)Key achievements (on top of my previous role):Data Strategy & Organization- Defined strategy & roadmap for reporting and AI, plus I'm the driving force of execution of this strategy- Data evangelist, by giving presentations and shared learnings, throughout the company on the importance of the entire scope and lifecycle of data. Writing external blogs and whitepapers on the topic of (ethical) AI and data in general- Expanding a team of Data Scientist, Data & ML Engineers and BI Consultants with varied & complementary skillset, from 2 to currently 14- Setting up new roles, job scorecards and development plan for the teamInsights & Analytics- Insights shared within the company using Power BI - improved customer value with 200%, identified and captured annual savings of 500K- Designing and developing an internal reporting solution based on Azure and Power BI, which is also leveraged for external reporting to customers - Building a BI department from scratch both on technology, people and process side

Member of the FRISS Leadership team and in this role I'm responsible for:- Data Science & Analytics for both all products of FRISS as internal- Leading and coaching an international team of (Senior-) Data Scientists and Data Engineers (14 FTE) - both internal as external members- Managing key stakeholders (all internal departments like Customer Success and Finance) and 3rd party relationships (like suppliers and investors)Key achievements:Data Strategy & Organization- Data evangelist, by giving presentations and shared learnings, throughout the company on the importance of the entire scope and lifecycle of data- Expanding a team of Data Scientist, Data & ML Engineers with varied & complementary skillset, from 2 to currently 14- Setting up new roles, job scorecards and development plan for the teamAI & ML- Setting up a scalable and cost effectieve ML platform based on Azure and Databricks. - Reduced TCO with 70% by migrating customers from old stack to new ML stack- Reduced time of implementation with 80%; implementing & monitoring around 100 models

Give lectures on the topic of analytics in the world of finance and the importance of IT and data for post master accountants and (financial & business) controllers (course: Bestuurlijke Informatie Voorziening - In Control)

In this role I'm responsible for:- Managing multiple projects at clients as project lead/ product owner/ scrum master.- Leading, managing, training and coaching a team of (Senior-) Data Scientists and Data Engineers.- Identify data driven opportunities/solutions for companies and bridging the gap between business, data science and IT.- Product Owner/ Business Development: Developing new services/products in the area of Financial Analytics & Risk Analytics, like Fraud Detection, Forecasting models (revenue, costs,... ), Continuous Control, Data Quality and more.- Give lectures, podcasts and presentations on business analytics (Heliview, WGOIR, Big Data Expo, de Dataloog)- Writing blogs on the topic of business analyticsKey achievements:- Together with Marketing, Sales and Technical Lead developed Fraud Finder (fraudfinder.nl)- Project lead for the implementation of a Data Quality Framework for a bank based on AI techniques (OCR and anomaly detection): resulting in finding 30% more DQ issue for issued loans and a reduction in capital needed of 10 million Euros.- Project lead for improving Project Control for a construction company: identified potential savings of 8 million Euros a year (100% of company's profit) by streamlining project definitions over different departments and building Power BI dashboard for insights.- Project lead Planning for a public transport company: identified potential savings of 6 million euros by defining and implementing KPIs (balance between costs and customer satisfaction)

As part of a sabbatical I traveled the world, starting with the Trans-Mongolia Express (from St. Petersburg to Beijing) and after that Malaysia, Indonesia, Nepal, Myanmar and Thailand.

Accurrency provides analytics-as-a-service to especially high volume-, data driven businesses (for instance telecom, online retail, PSPs, insurance companies, utilities, transport, online content,...). Using advanced data analytics, we monitor and control the nature and extent of existing revenue- and cost risks. This leads to increased revenues, decreased costs and an increased level of control over our clients’ value chains. Furthermore Accurrency can provide essential strategic insights out of your company's data and can assist in migration projects, data quality checks and more! For more information: www.accurrency.nlIn this role I'm mainly responsible for:- Developing new business; from first conversations to proposals to negotiations.- Developing a product portfolio, marketing and communication material.- Developing analytics as a service for different clients. Example of clients: UTS Curacao, Simpel.nl, Zoover, Qbuzz, Ziggo. Delivering structural revenue growth of 1% to 4% at these customers, strategic insights in margins per customer and successfully supporting migrations.- Managing day-to-day operations of the company, including financial administration.- Stakeholder management of clients, suppliers and our clients' accountant.

As manager, I managed the day-to-day operations of the Revenue Assurance & Fraud Management department, consisting of 4 professionals (4 FTE). Defined best practice operational strategy, RA control (part of SOx) framework and tools strategy delivering more than EUR 30M of business payback in 5 years. Direct reporting line to the CFO.Furthermore I had a leading role in the integration of the 2 departments (of former UPC and former Ziggo), managing key stakeholders and 3rd party relationships (like suppliers and the external accountant).

I'm responsible for my own area of business where I'm monitoring, controlling and improving subscription fee based revenue streams (over 100 million euro a month). This is done by developing and implementing data quality controls (through extensive data analysis on both structured as unstructured data). Furthermore I'm responsible for managing, implementing and optimizing a Fraud Management System and training and coaching the agents (5 FTE) working with this system. I also took part in programs and projects that have impact on major revenue streams. In this role I was stream lead for projects and programs like:- Migration of Mediation system- Implementation of new billing systems- Implementation of new order management system- Building a predictive model to reduce total costs for 3rd party collection agencies with EUR 400K a year- Building a predictive model to determine expected monthly telephony voice revenues (accurate within 0,5%)

I'm responsible for my own area of business where I'm monitoring, controlling and improving subscription fee based revenue streams (over 100 million euro a month). This is done by developing and implementing data quality controls (through extensive data analysis on both structured as unstructured data). Furthermore I was projectmanager for implementing a new Fraud Management System, that uses machine learning techniques to detect fraud. This new system reduced workload with 98% and had a 67% accuracy in finding fraudulent customers.I also took part in programs and projects that have impact on major revenue streams. In this role I was stream lead for projects and programs like:- Migration of all customers to new digital television proposition- Implementation of a (completely) new mobile product

Developing and setting up a new Revenue Assurance (https://en.wikipedia.org/wiki/Revenue_assurance) department at Ziggo as part of the Risk Management department. I'm responsible for my own area of business where Im monitoring and controlling subscription fee based revenue streams (over 100 million euro a month). This is done by developing and implementing data quality controls (through extensive data analysis on both structured as unstructured data) and follow up on these findings by: 1. Initiating and coordination clean up actions to stop this revenue leakage, 2. Identify the root cause and stop more revenue to leak in the future.

Managed projects in many lines of business for companies throughout Europe. Mostly data analytics projects in the area of risk management, process improvement and revenue management for companies in the telecom sector and/or supply chain sector. Companies I worked for include: Heineken, Kyocera, ING, TomTom, KPN, Ziggo.

Managed projects in many lines of business for companies throughout Europe. Mostly data analytics projects in the area of risk management, process improvement and revenue management for companies in the telecom sector and/or supply chain sector. Companies I worked for include: Heineken, Kyocera, ING, TomTom, KPN, Ziggo.

During a 9 month traineeship at Vanderlande Industries, I wrote a thesis about Zone Picking Systems. This thesis had a focus on throughput times and optimisation of these complex order picking systems. Furthermore I developed a Java tool that could be used to calculate these throughput times for all configurations for both sales as support departments.

Studied the master Industrial and Applied Mathematics with a focus on Statistical Processes and Operational Research (SPOR). During my study I also published several papers regarding this topic.

As a student mentor, I instructed a group of first year Engineering students Analysis 101. In this role I was teaching them the basics of Analysis and checked their homework. Furthermore I did the same for 2nd year Computer Science students for the subject of Statistics.

As part of the students promotion team I promoted the Eindhoven University of Technology and especially the study Applied Mathematics.