I'm an aspiring Data Analyst with a strong foundation in analytics, dashboarding, and machine learning. Experienced in Power BI, Python, and SQL to transform data into actionable insights. Skilled at collaborating with cross-functional teams and automating reporting processes to improve performance and efficiency and meet the end goals. Passionate about applying data analytics to management, and business decision-making, making it data-driven.

On a more personal note, I used to be a semi-professional keyboardists, competing on both regional and national levels between the age of 6 and 16, even winning 2 national competitions 🎶

Nowadays, I enjoy travelling, having a great time with friends and I recently fell in love with bouldering 🧗

Skills & Proficiencies

Technical Skills

• Python (analytics, ML prototyping)

• SQL (queries, transformations)

• Power BI (interactive dashboards, drill-downs, report automation)

• ETL & data pipelines for reporting (collecting, preprocessing, merging operational data)

• Data warehousing fundamentals & multi-source integration

• Microsoft Office: Excel, PowerPoint, SharePoint

Professional Skills

• Stakeholder collaboration & cross-functional teamwork

• KPI definition and performance tracking for decision support

• Experience in research (non-verbal/affective computing, model design & refinement)

• Ethical AI & data compliance (coursework)

• Business understanding & problem-solving mindset

• Clear communication (presenting insights to management)

Work Experience

Data & Dashboarding Intern

Yarado, Sep 2025 - ongoing

Halfweg, NL

• Building and automating data pipelines to collect, preprocess, and merge data from work
  management and time tracking softwares

• Designing and developing data dashboards to visualize performance metrics for decision-making related KPIs

• Collaborating with Yarado’s management team to align analytics with strategic goals and optimize the company’s management execution

AI Developer Intern

Cradle R&D Lab, Feb 2025 - Jun 2025

Breda, NL

• During my internship at Cradle, I worked on developing a machine learning model for non-verbal cues recognition. This model could be later on implemented within the pipeline of Regiodeal project, which focuses on Virtual Humans in Journalism, Education and Healthcare use cases.