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Following the successful development and scaling of AI products in Sales (Route-to-Customer), took on broader responsibility for Heineken's Global AI Product Management organization:

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• Expanded scope from customer-facing commercial AI products to include Supply Chain AI products.

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• Accountable for the end-to-end lifecycle of AI products, from development and production deployment to adoption and value realization.

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• Grew and lead the team from 6 to 15 Product Managers.

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• Established product management capabilities and governance across a growing global AI portfolio.

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• Partnering with senior business and technology stakeholders to deliver measurable business value through AI.

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Leading a team of Global AI Product Managers, with a focus on Sales (Route to Consumer). Our Products have proven impact, and are scaled globally:

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1). AI Data Driven Advisor (AIDDA) - empowering Heineken's sales teams across the world to focus on the best next action (the right action, for the right customer, at the right time). 

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• Scaled in >10 OPCOs, used by ~5k sales reps, and supporting ~500.000 customers. 

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• Proven impact in boosting volume, and significant reduction in travel time for sales reps. 

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• More details in the sources below. 

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2). Product Recommender - empowering Heineken's B2B platforms and sales teams worldwide with the best personalized recommendations. 

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• From cross-selling, and out-of-stock recommendations till smart suggested orders. 

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• Scaled in >10 OPCOs, serving more than 500.000 customers. 

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• Proven impact in boosting revenue, More details in the sources below. 

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3). Falcon - Image Recognition to enhance Outlet Execution 

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• Image recognition tool capturing insights from outlets (fridge contents, point of sales materials). 

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• Proven impact, significantly reducing manual effort of our sales staff. 

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Sources: 

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• 2023 Heineken NV Annual Report

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• How HEINEKEN is brewing innovation with AI

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• Dutch IT Channel - HEINEKEN zet in op AI om de toekomst van bier te brouwen

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Versuni, formerly known as Philips Domestic Appliances, has a simple yet powerful purpose of turning houses into homes. As a house of brands Versuni is home to the brands: Philips, Saeco, Gaggia, Preethi, Philips Walita, L'OR Barista and Senseo.

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Consulting the Philip Direct-to-Consumer store (D2C*) Europe with Insights and Data Science.

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• Being the business- and sparring partner for the Europe D2C (e-commerce) team

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• Drive and execute (predictive) performance insights for the Online Store (e.g., best product bundles, predict out of stock/revenue and explain drivers)

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• Ensuring quality of Consumer Store data (e.g., consult other analytics teams on their analysis & dashboards)

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• Guiding weekly performance meetings (e.g., Guiding Daily Management Europe, focussing on key KPIs)

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• Cooperation closely with stakeholders across Philips

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Main Tools:

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• Python, QlikSense

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* D2C includes different Revenue Sources (Philips Online Shop, Subscriptions, Marketplaces, Employee Shop and Loyalty & Incentives)

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Lead Consultant & Data Scientist – Team: Enterprise Information Management - Insights & Analytics.

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Lead Consultant for the development team (7 members) of the Philips 'Faster, Better, Smarter' Activation Track.

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• Faster by Data Engineering (automating data collection, data cleaning and data visualization).

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• Better by Data Integration (combining data sources to better understand our campaigns).

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• Smarter by understanding the past and the future (by implementing Dashboards and AI).

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Data Scientist (key projects):

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• Speech to Text (Transform huge amounts of audio files into text. Present the -anonymized- actionable results in a Dashboard)

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• Television (Dashboard that shows the impact of our TV advertisements on online traffic).

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• Integrated Uplift (Predict the number of ‘Add to Carts’ based on media spend and provide the business actionable insights from the model).

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Main Tools:

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• Python, Spark (PySpark), Azure Databricks, SQL and Qlik.

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Data Scientist - Team: Enterprise Information Management - Insights & Analytics.

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Projects in different domains of Philips:

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• Marketing & E-Commerce.

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• Health Care & Innovation.

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• Manufacturing.

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• Research.

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Data Science Experience:

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• Dealing with a lot of data (e.g. Factory data & Philips website data).

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• Predictive modelling (e.g. Machine failure, Search Rank, brand preferences).

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• Text Mining & NLP (e.g. Patent Documents, customer deep dives).

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• Web Scraping (e.g. collects data from different websites).

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• Dashboards (e.g. visualized Data Science results -automated- in dashboards).

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• Data Engineering (e.g. Digital Factory data).

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Enable costumers to make better decisions by:

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• Data Science models and Machine Learning

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• Improving data-driven working

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• Data visualizations & Dashboards

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Enable costumers to make better decisions by:

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• Data Science models and Machine Learning

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• Improving data-driven working

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• Data visualizations & Dashboards

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Contributed to develop a new party structure.

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Focus on:

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• Analyzing qualitative data.

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• Visualizing qualitative data.

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Train machine learning models to predict households energy consumption.

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• Data preprocessing.

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• Data visualisation.

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• Machine learning / Time Series Analysis.

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• ARIMA and Gaussian Processes.

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• Language: R(Studio).

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Several projects in the Strategy & Policy team.

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‘Framework conditions for high-growth innovative enterprises’

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• Visualise data.

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• Analyse data.

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‘Connecting Creative Technologists’

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• Researcher.

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Research: Investigate reputation damages for paying compensations to the victims of ‘Project X’ in Haren.

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Foundation with as goal to improve the sportsmanship between football teams.

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Our website made it possible to arrange friendly games, with the opportunity to rate the other team on the basis of sportsmanship.

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Tang Soo Do is a traditional Korean martial art of self defense. In 2005 I achieved my Black Belt degree. During the years I teached several classes and attended various championships.