I am currently working as a Solutions Engineer at Taktile in their Berlin office, where I help translate customer business objectives into high-impact risk solutions, deliver value-focused demos, and lead technical evaluations that convert prospects into customers.

Before moving to Berlin, I studied Business Analytics learning as much as possible about the inner workings of AI and how to apply AI/ML and cloud solutions to real business problems to solve them by building great data products and prototypes.

Before coming to Barcelona, I worked for over 1,5 years as Management Consultant for Data & Analytics in Germany and got the chance to rotate through nine different departments at Telefónica in Munich and Madrid during my previous studies, building on a M.Sc. in Finance & Accounting and a Bachelor in Business Administration.

I love to ride my bike 🚴‍♂️ and capture unique moments, landscapes or architectures with my camera/phone 📷.

Reach out if you’re in Berlin or are interest in connecting!

Topics of Interest

Machine Learning Data Architectures Explainable AI (XAI) Knowledge Graphs Fraud Detection

My current tech stack

VSCode Claude Code Cursor git uv Docker Notion Perplexity Warp

Worked (a lot) with

Excel PowerBI AWS Python Beautiful Soup Streamlit Flask

Played around with

GCP Docker SQL Knime HTML/CSS/JS Supabase Postgres Azure Briefer

I am currently working on

• My master thesis combining traditional XAI methods like SHAP and Counterfactuals with LLMs to generate model decision explanations in easy-to-understand natural language and creating a comprehensive evaluation framework to assess the generated explanation quality

• Technical evaluations for enterprise prospects evaluating decision intelligence platforms

• Building solution prototypes and conducting POVs for credit underwriting, customer onboarding and fraud detection risk management use cases

• Developing reusable demo assets and technical templates to scale pre-sales excellence across the Solutions Engineering team

Former projects

Data Science & Analytics

• Built a churn prediction/policy downgrade model for a global insurance company (Esade Capstone project)

• Lead team of 10 Data & Analytics consultants at 180 Degrees Barcelona across different projects (e.g. developing a webscraping module for supplier ESG data incl. company classification using a LLM for a sustainability reporting startup)

• Review analyzer to pull reviews from Google MyBusiness API with OpenAI sentiment analysis.

• Streamlit dashboard to visualize customer churn probability for telco customers with adjustable business case & prediction parameters.

• (Trying to) predict startup investment sucess using XGBoost, SVM and Logistic Regression.

FP&A

• Startup Financial Planning Tool - Top-down business plan for SaaS startup to calculate the number of required users in order to reach ARR target.

• Created a post-merger financial planning template to plan and break down revenue and cost targets across new business divisions and regions

Tinkering around

• “Song of the Day”: Song recommender based on current mood using Spotify API.

• Secret Santa Emailer: Helper program to automate assignment and invitation emails.

• Building a PowerBI dashboard with automated data inputs through MS Forms to visualize our internal game statistics for playing Uno.

These projects are also partially available on my GitHub. Feel free to have a look and reach out!

Favorite Resources

An affiliate-free collection of my favorite tools, websites and books I use or read regularly.

Tools🛠️ - not sponsored

• Briefer to create quick & easy dashboard (will be sunset in November 2025 unfortunately)
• Komoot for planning bike, hiking or any outdoor tours
• Arc, the best web browser out there (at least until the release of Comet)
• Parquet to track finances and investments
• Money Manager to track daily expenses
• PPT Quickaccess Bar - right click +save link as... *.exportedUI | how-to

Websites🌐

• Transformers Explained for a great overview of the transformer architecture

Books📖

• Medidations for Mortals - Oliver Burkeman
• Fahrenheit 451 - Ray Bradbury
• Algorithms to Live By - Brian Christian & Tom Griffiths
• The First Minute - Chris Fenning
• The Neverending Story - Michael Ende