Speakers @ IDM europe

Polina is a Sr. Data Scientist in the Advanced Analytics team of TNT Digital International, with experience in data engineering, analytics and data science in corporate international environments, previously at Shell International and Exact.

As OKR Program Lead at TNT Digital, she is also currently leading the Digital International organisation in the adoption of the OKR methodology with the ultimate goal to have measurable and visible business impact throughout the organisation.

Being a certified Scrum Master, certified Product Owner and certified SAFe Agilist, Polina also loves working in an agile and pragmatic way, educating others and helping the business embrace agile transformation.

Sander is an experienced architect with 20 years of experience within the financial sector (Insurance and Banking).

Topics he has worked on, are: business intelligence, logical data architecture / data warehousing, data governance, big data, master data management, reference data management, linked data, data virtualisation, data maturity, rationalisation of data silo’s, to name but a few.

Designing good reports and Dashboards is not an easy task. Visualisation of information sometimes seems a poor child.

Based on some practical tips, Ben de Jong will highlight what often goes wrong and how this can be prevented.

Passionate, cross-functional, creative and result-driven marketing professional with 25 years’ experience.

Pieter loves data driven growth, insights activation and digital transformation for media & marketing partners, and he’s spent the last 10 years helping growing revenue through dedicated efforts in digital analytics, data science, consumer experience optimization and consultancy.

Ever since starting his career at Daimler, Bertram has been working with bill-of-material data; but only after Daimler focused more on the value that can be extracted from data under a new CIO, Bertram looked into new ways of digging deeper. For 4 years, Bertram has been leading a data-driven team to find ways to unlock the potential of Data for Daimler Trucks engineering and has been an ambassador of digital transformation and focus on data.

In recent projects, Bertram has been focused on creating business value by providing “insights for everyone” and successfully rolling-out easy access tools. These tools don’t require data science, data engineering or programming skills, bringing the right questions it the only requirement.

Bertram supports the vehicle and powertrain organization of Daimler Trucks in their respective strategic projects to reduce variants and complexity without impacting the ability to deliver the exact right product to every customer.

Isabel Bevort graduated from the University of Amsterdam with a MSc Mathematics degree before joining NS as an IT trainee. During this time, she has worked in Data & Analytics and the research department of NS Stations (Dutch Railways).

After her traineeship she went on working at the latter as a data scientist/researcher. The projects she has worked on include descriptive and predictive analyses, such as predicting crowds at the Schiphol Airport train station and analysing pedestrian flows inside Utrecht Central station to optimize cleaning schedules.

With a passion for clear communication of the information that data provides, she has transformed the knowledge she obtained from a training by Stephen Few into several workshops and presentations to introduce the concepts to a wider NS-audience.

Sanne works as a lead data scientist for forecasting at Albert Heijn. Together with a team of data scientists and engineers, she works on providing accurate and relevant forecasts throughout the organization.

Prior to Albert Heijn, Sanne worked as a data science consultant at Macaw. She worked with clients in various industries, inventing, designing and building real-world applications of advanced analytics and machine learning. Before that, she worked as a data analyst/scientist for Eneco group, focusing on data management and predictive maintenance.

Sanne holds a PhD in Neurosciences from the Vrije Universiteit Amsterdam. She has always been passionate about data, statistics and math. She is driven to create solutions that are understood and trusted and add value to the organization.

Katherine James is the Head of Data Science at Royal Mail, where she leads a team of 20 data scientists working on a wide variety of projects including forecasting, vehicle route optimization, workload planning and AI for operational managers.

Her background is in statistical genetics and she completed a PhD in the genetics of HIV-2 infection at Oxford in 2014. Following a short Post-Doc in Kumamoto in Southern Japan, she returned to the UK and entered industry as a data scientist in the Know Me team at British Airways. She was responsible for building a recommender system for email personalization which went through successful A/B testing and formed the basis for destination personalization to over 4 million customers.

She has been at Royal Mail since 2016 and alongside her day job is a passionate advocate for women in Tech, mentoring several early career data scientists and regularly blogging and speaking about how to increase diversity in tech teams at internal and external events.

After finishing her PhD at the Utrecht University in 2015, Sarah started working for a.s.r. as a marketing intelligence analyst. Since then, she has held different functions within a.s.r. all related to data innovation and machine learning.

In 2018, Sarah set up the a.s.r. analytics lab, the company’s centre of excellence for machine learning and artificial intelligence. She currently works together with her fast-growing team on accelerating the use of algorithms for a.s.r’s different operations.

Sarah has a keen interest in everything related to agile leadership, data innovation, automation and machine learning.

Sébastien Oldenbroek is Product Owner Data at the Dutch insurance company Nationale Nederlanden – Non Life within the NN-Group. He has been leading several teams that work on the Non-Life Data Warehouse since 2019. Dating back to 2015, he held various roles, from IT Management Trainee to Data Quality Officer.

How did a Chemistry graduate end up in IT? He likes the complexity of IT, especially data, thinking in different layers and abstract models and combining it with business sense.

Dani Marouane works as a digital segment architect at the IT&IM department of Damen Shipyards Group, the Netherlands.

He graduated in 2011 from the Moroccan Aviation international Academy as embedded systems engineer and 2014, from EMLyon Business School as a digitalization engineer. His main specialties are big data, real-time processing, analytics and IoT.

He joined Damen Shipyards in 2015 working on multiple innovation projects before designing and realizing the Damen Digital platform, implementing a DevOps structure with automation and continuous delivery implementations among other Big Data projects.

Arno van Sloun is an enthusiastic and result driven thought leader in the field of data science. He specializes in advising organizations on becoming data-driven and enables the change needed to transform.

Using statistics and mathematics as the fundament of analytical thinking, he coaches, influences and inspires colleagues into a data-driven way of working. He is the driving force behind data science products in core processes to add value.

Prior to his current role at ARAG, Arno worked as a quantitative business analyst and senior consultant. He holds a masters in Econometrics and Operations Research and has a postgraduate masters in the field of Investment Management.