JupyterLabs

Chronoamperometry Data Analysis for Non-invasive Glucose Monitoring

In this project, I collaborated with a client developing a revolutionary non-invasive glucose monitoring system. Our initial focus was on calibrating the physical device to …

AI-Powered Disease Detection on X-ray Images

The goal of this project was to develop a Deep Learning powered solution detecting a disease on medical X-ray images. The model I have developed achieved an AUC of 0.98. The …

Machine Learning Based Investment Strategy

The goal of this project was to develop a machine learning backed investment strategy based on multiple binary positive and negative signals sourced from price, market, and …

Ischemic Stroke Risk Assessment

The goal of this project was to develop an AI backend engine for an intelligent decision support system which asses an ischemic stroke risk. The system was developed in …

Predicting Blood Transfusion Needs

The goal of this project was to develop an AI-backed decision support system helping medical doctors to decide about blood transfusion. In collaboration with multiple hospitals, we …

Machine Learnin backed FAQ Chatbot

The goal of this project was to develop an AI backend for a frequently asked questions chatbot. A client had collected a significant amount of questions and answers that were used …

Anomaly Detection in BI Smart Metrics

The goal of this project was to develop an anomaly detection pipeline for business intelligence systems in order to trigger a BI report distribution - via slack or e-mail - when an …