<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Tennet on Tobias Dekker - dato</title><link>https://dato.one/tags/tennet/</link><description>Recent content in Tennet on Tobias Dekker - dato</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><managingEditor>tobias.dekker@dato.one (Tobias Dekker)</managingEditor><webMaster>tobias.dekker@dato.one (Tobias Dekker)</webMaster><copyright>&amp;copy; 2019–2026</copyright><lastBuildDate>Fri, 01 Dec 2023 00:00:00 +0000</lastBuildDate><atom:link href="/tags/tennet/index.xml" rel="self" type="application/rss+xml"/><item><title>TenneT (2023–Present)</title><link>https://dato.one/experience/tennet/</link><pubDate>Fri, 01 Dec 2023 00:00:00 +0000</pubDate><author>tobias.dekker@dato.one (Tobias Dekker)</author><guid>https://dato.one/experience/tennet/</guid><description>&lt;p&gt;As senior data and ML engineer at TenneT, I work mainly on &lt;strong&gt;power forecasts&lt;/strong&gt; for the high-voltage electricity transmission network.&lt;/p&gt;
&lt;p&gt;I build &lt;strong&gt;data pipelines&lt;/strong&gt;, &lt;strong&gt;productionize ML models&lt;/strong&gt;, and implement &lt;strong&gt;MLOps&lt;/strong&gt; on &lt;strong&gt;Azure Databricks&lt;/strong&gt; — taking forecasting solutions from development through to reliable use in production. My work focuses on making models maintainable, repeatable, and ready for operational decision-making across the organization.&lt;/p&gt;</description></item><item><title>Alliander (2020–2023)</title><link>https://dato.one/experience/alliander2/</link><pubDate>Wed, 01 Nov 2023 00:00:00 +0000</pubDate><author>tobias.dekker@dato.one (Tobias Dekker)</author><guid>https://dato.one/experience/alliander2/</guid><description>&lt;p&gt;As senior data engineer and data scientist in an agile scrum team, I delivered multiple production data applications for Alliander&amp;rsquo;s energy network. I owned the full lifecycle: data preparation, ML model development, application development, and deployment to production.&lt;/p&gt;
&lt;p&gt;I deployed and operated solutions on &lt;strong&gt;AWS&lt;/strong&gt;, &lt;strong&gt;Kubernetes&lt;/strong&gt;, and &lt;strong&gt;OpenShift&lt;/strong&gt;. For data processing and model development, I used &lt;strong&gt;pandas&lt;/strong&gt; and &lt;strong&gt;Docker&lt;/strong&gt; to package and deploy application components. My work focused on building data applications that integrated ML models into usable software for the business, working closely with engineers and domain experts to translate network challenges into reliable, data-driven solutions.&lt;/p&gt;</description></item><item><title>Schiphol (2018-2020)</title><link>https://dato.one/experience/schiphol/</link><pubDate>Wed, 01 May 2019 00:00:00 +0000</pubDate><author>tobias.dekker@dato.one (Tobias Dekker)</author><guid>https://dato.one/experience/schiphol/</guid><description>&lt;p&gt;As data scientist and machine learning engineer at Schiphol, I developed forecasting models to improve insight into passenger flow across the airport, working with large volumes of operational data in Python using libraries such as &lt;strong&gt;pandas&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;I owned the path from model development to production, including &lt;strong&gt;MLOps&lt;/strong&gt; practices to make models reliable and maintainable in day-to-day operations. I used &lt;strong&gt;MLflow&lt;/strong&gt; for experiment tracking, model versioning, and managing the transition from development to production, and worked with the team to deploy and operationalize models so they could support operational decision-making.&lt;/p&gt;</description></item><item><title>Alliander (2014-2018)</title><link>https://dato.one/experience/alliander/</link><pubDate>Sat, 08 Sep 2018 00:00:00 +0000</pubDate><author>tobias.dekker@dato.one (Tobias Dekker)</author><guid>https://dato.one/experience/alliander/</guid><description>&lt;p&gt;As lead data scientist, I developed, implemented, and maintained advanced analytics models, translating business goals into model requirements. I coached junior data scientists and presented results and model guidance to stakeholders.&lt;/p&gt;
&lt;p&gt;Working in agile scrum teams with large-scale and big data datasets, I applied machine learning and statistical methods using Python tools such as &lt;strong&gt;pandas&lt;/strong&gt;, alongside analytics to solve business problems and improve processes. I also contributed to the professionalization of analytics capabilities across Alliander.&lt;/p&gt;
&lt;p&gt;This role laid the foundation for my later move into building and operating ML applications in production.&lt;/p&gt;</description></item></channel></rss>