I am trying to bridge the gap between data and the web.

Navigating the intricate webs of data to deliver digital excellence. My mission as a Full-stack Data Analyst & Scientist is to drive transformative data insights, creating unparalleled online experiences.
Currently, on my journey as a Full-stack Data Analyst & Scientist revolves around designing innovative and insightful digital products.

About Me

I am a Data Scientist with a focus on building exceptional digital products. Currently, I’m focused on building data analytics, human-centered products at Ingram Micro.

I also worked as Web Data Analyst at BMW and did research on implicit linear and Deep Learning Recommender Systems for Aston University.

The Techstack I have worked with so far:

Python
JavaScript
Flask
Streamlit
Django

Microsoft PowerBi
Looker
Adobe Analytics

Where I've worked

Ingram Micro
BMW
Swan Management

Ingram Micro (Munich, DE)

November 2021 - today

Developed various ML products such as a customer churn Dashboard (XGBoostClassifier, Streamlit)
Built several MS PowerBI Dashboards for various stakeholder departments
Managed automatic EDWH Reporting in SAPBI

BMW (Munich, DE)

March 2021 - October 2021

Focusing on online customer analytics with Adobe Analytics and Contentsquare
Identified customer lifetime value of webshop customers with Python

Swan Management (Freelance)

July 2020 - February 2021

Development of various interactive sales dashboard in MS Excel.

My Education

Aston University
Fontys University of Applied Sciences
Bootcamps

Aston University (Birmingham, UK)

Master of Science Business Analytics

2021 - 2023

MSc focusing on Data Analytics and Science for businesses.
Did research on implicit Recommender Systems on linear and Deep Learning methods for a German IT-distributor.

Fontys International Business School (Venlo, NL)

Bachelor of Business Administration

2014 - 2018

Business bachelor with courses focusing on Finance, Accounting.
Founded a small merchandise start-up during the programme.

Data Science (CodeAcademy)

2021

Le Wagon

2020

Completed the online course for Data Science on CodeAcademy and the 6-week bootcamp of Le Wagon Munich.

Recent Projects

Implicit RecSys comparison

For my master thesis project I analyzed various linear and Deep Learning RecSys for implicit customer purchase data of an IT-distributor.

IQSheets

Developed an ChatGPT API integration front- and backend focusing on spreadsheet tasks

Loan Classification

Classification project for a Kaggle challenge classifying defaulting credits with XGBoostClassifier and Random Forest Classifier.

Car Price predictor

Tested various Regression models on a Kaggle dataset for used cars.

Stealth

Still in the making.

Stealth

Still in the making

Contact Me!

Feel free to contact me for any question. For open-source projects, please open an issue or pull request on Github. If you want to follow my work, reach me on Twitter.