
data scienti
A website to present an interaction interface for a product management system based off Google's Product Taxonomy. This (exclusively desktop styled) website allows for authorization, user interaction with the data locally, as well as storing the updated data online in a Firestore Cloud Backend. Use the user credentials 'Marc' with password 'SICK' to get started.
A business website for entering simple multiple choice questions for a tutoring purpose - real application for a customer in Spain. Use the login credentials of email: 'test' password: 'test' to play around with it. The website leverages a Firestroe backend connected to an Angular Frontend. It connects state persistence via cookies and dynamic styles to allow for a direct student feedback.
The very website you are looking at right now! The project leverages React.js's file patterns and component modularization as well as community packages for slider motions, typing effects, custom alerts, and smooth scrolling. Combined with Tailwind CSS and email.js as backend this results in a small but fullstack project. Fun!
This web application comes from a German-based NGO, who set out to help Corona-plagued students with homeschooling. I helped with dashboard functionalities for its tutors, indicating progress, achievements, etc. The entire app is built in Angular and finds a native translation via Ionic. My main responsibility lies in frontend visualizations (Angular + CSS3) of data.
This project aims to mimic a basic interaction with an interactive data fetching service. Github provides one of the largest project interaction systems of the world. It hosts numerous widely used repositories which we will explore in this simple application.The main purpose of the project is tos illustrate the benefits but also the limitations of the open data API and how to potentially overcome them for your own project. Have fun!
A dummy weather App, fetching weather data from a public weather API, storing marked cities in a firebase backend and presenting the frontend built off an Angular design style. The styling utilizes Angular Material for custom input fields and an extensive data table with sorting, filtering, and pagination functionality.
This website mainly aims to practice basic backend (node.js) logic for user authentication, routing, and blog posting. HTML and CSS was used for basic styling, which remained a secondary concern in this project. The page represents a memorial app to post memories of the belated Kobe Bryant, who died in 2020.
The backend portion of my Master's thesis. It handles the data fetching, cleaning and processingf steps in Python. The database for the large datasets of geospatial data is loaded from a Postgres SQL Database. More details about the implemented calculation logic can be found in the accompanying github repository.
A class project which compares different neural network architectures in classification accuracy for single sentence classification tasks. Especially with small input data, the data hungry architectures require a lot of fine-tuning to retrieve the required features to make reasonable assumptions. The classifiers are implemented in Python utilzing Keras or Tensorflow libraries.
A website to present an interaction interface for a product management system based off Google's Product Taxonomy. This (exclusively desktop styled) website allows for authorization, user interaction with the data locally, as well as storing the updated data online in a Firestore Cloud Backend. Use the user credentials 'Marc' with password 'SICK' to get started.
Mr. Luettecke is one of the best students I had, we hired him as a finance tutor at our college. He actually had a waiting list. My MBA students are scheduling appointments with him. I am receiving high praises and very positive emails about his teaching.
With his combined knowledge of coding, data analysis and finance, Marc filled exactly the gap for which we had previously been unable to identify a desired candidate for months. Marc contributed to the EXIST application in many ways and played a major role in us receiving a positive funding decision [...] in 2020.
Marc's way of working is characterized to a very high extent by his systematic approach, sense of responsibility and determination, which lead to excellent solutions. Due to his very high commitment, he always delivers his work results on time and in very good quality at any time.
Marc has a very quick perception and is always characterized by very good organizational, analytical and judgmental skills. He has an excellent ability to successfully apply his extensive, in-depth professional knowledge and experience to new situations for the benefit of the team.
I first met Marc when he was taking my Business Statistics class in the Fall of 2011. He was my best student by far. As they say, it wasn't even close. He mastered material so well, in fact, that he would tutor his classmates on statistics. Several of his classmates would not have passed were it not for his help.
Marc conducted research for me during his time as a Ph.D student at UT. While he was exceedingly reliable, proactive and enthusiastic about his assignments, what most stood out was his focus on offering the highest level of work possible. I would hire him again in a heartbeat.
Marc is very personable and also asked some of the most insightful and challenging questions about Investments and other topics that I have ever encountered in my many years of teaching. In summary Marc is exceptional as a person and a scholar.
Marc is a model of who I hope to hire in my business office. Marc is personable, he is intelligent, and most importantly, he is reliable. I have worked with Marc for six months now, and during those six months, my only regret is that I didn't meet him sooner in his college career.