Welcome to my GitHub portfolio! I am Dennis - AI and Data Analytics enthusiast :) With a background in AI, Econometrics, Quantitative Optimization and especially Data Analytics, I am always eager to apply state-of-the art algorithms to modern problems. Feel free to reach out to me for collaboration on any AI & Analytics related topics!
Currently focusing on building experience in data analytics and engineering. Mainly using databricks, SQL, PowerBI and Python to build and optimize dashboards, pipelines, and operationalize ML algorithms.
Developed a Graph Neural Network Architecture for predicting quantum-chemical properties of molecules.
Working student. Focus on reporting, analytics and discovering & implementing AI use-cases.
Full-time HR Analyst. Focusing on the creation and presentation of reports, dashboards and KPIs, Automation of data processing processes, Conducting statistical and predictive analyses, and introducing a PowerBI architecture in the department.
Creation and evaluation of a spatial Clustering model from scratch in numpy. Includes data processing & creation and evaluation of the DBSCAN Algorithm, adapted from the original paper by Ester et al. (1996).
View NotebookReimplementation of the Paper by Bengio et al. (2003) - A neural probabilistic language model. Creation of a neural network and comparison to n-gram models using PyTorch.
View NotebookWebService Project in Java (Maven, RESTful HTTP) to create an AI Tutoring Platform using OpenAI's ChatGPT. API Endpoint testing with Postman.
View ProjectGenAI Generation of Data Flow Diagrams (DFDs) and detection of security threats with Random Forest and Neural Networks. Deployment of a ML Application using Streamlit.
View Project