def hello_world():
intro = "Hello, I'm José."
story = "I see hidden stories in data"
ai = "and bring them to life with AI."
print(f"{intro} {story} {ai}")
if your_need in {"Code", "Data", "AI"}:
hello_world()
My data journey began inspired by coffee. As a barista, I learned that a small change, a different
origin or grind, can turn ordinary beans into an unforgettable experience. Today, I
bring that same attention to detail into my data work.
Follow along to see how these lessons shaped my path!
Before I ever wrote code, I worked as a barista. In that role, I mastered understanding customer needs and crafting personalized coffee experiences. Every cup was a blend of variables: origin, processing, roast profile, and grind size. Whether brewing an espresso, a pour-over or a chemex, each method revealed unique qualities in the beans. This taught me that recognizing patterns in complex variables creates meaningful impact, every data point contributes to a larger story.
With my barista insights fueling my curiosity, I dived into coding while studying Computer Science. My first real-word project was an app to track brew notes and pre-portion coffee. Each frustrating bug became a puzzle to solve. When the app finally worked on my phone, it felt like magic. It was not just code, but a solution to a problem I genuinely cared about. I learned that every challenge overcome was like perfecting a coffee order for a regular customer. The real value comes from understanding needs and creating personalized solutions that truly matter.
During my Bachelor Thesis, I built my first data pipeline, transforming raw inputs into predictive models. Using explainable AI techniques, I delved beyond black-box predictions to understand why models made specific decisions, allowing me to refine preprocessing and achieve more realistic results. I discovered that true insights come from understanding the entire process—from raw data collection to the final prediction. The most valuable results emerge when you respect the unique characteristics of your data, just as each coffee origin demands its own approach.
In my Master's program at HHU, I focused on data and AI, exploring how patterns can reveal hidden
narratives in seemingly disconnected information.
This passion extends beyond academics, I started tracking brewing variables, now I monitor & improve
my daily life through data and AI.
I've discovered that data, like coffee, requires both technical expertise and intuition to reveal
its full potential.
By continuously improving both our measurements and methods, we transform raw information into
insights that feel distinctly human and meaningful.
Curious how a smart data strategy can transform your business?
As a Data & AI Strategist, I convert raw, complex data into clear, actionable insights using techniques such as advanced statistics, visualizations, and predictive modeling. With extensive expertise in machine learning and AI, I help you identify and implement data-driven solutions that empower your business to make informed decisions. My strong communication and problem-solving skills ensure that every insight tells a compelling story.
By understanding and leveraging data (and AI), your business can adopt a data-driven approach, optimize resources, and stay ahead of the competition.
Want to automatize operations and save valuable time?
As a Code & Automation Specialist, I build custom scripts, develop efficient data pipelines, and create fully automated applications that simplify complex workflows. I focus on designing solutions that integrate seamlessly with your business, ultimately helping you save time and resources while ensuring high-quality data management.
By automating routine tasks, your business can unlock efficiency, reduce errors, and reinvest saved time and resources into strategic growth.
MONDAY.ROCKS GmbH, Düsseldorf
MONDAY.ROCKS GmbH, Düsseldorf
Heinrich-Heine Universität, Düsseldorf
SecureSystem GmbH, Bremen
