Computer Scientist | MSc Data Science @FAU | Working Student @Siemens Healthineers | Ex-Quant Dev @Citi | Former Instructor @ELTE
I'm a Computer Scientist building at the intersection of healthcare technology, software engineering, machine learning and data science.
Currently a Working Student at Siemens Healthineers in the Diagnostic Imaging Digital & Automation Platforms team, while pursuing my MSc in Data Science at FAU Erlangen-Nรผrnberg. My research focuses on medical imaging, image processing, healthcare AI, and secure interoperable health infrastructure. My bachelor's thesis, MedLedger, is a FHIR-compliant, blockchain-backed EHR platform that received a Special Mention at the TDK Scientific Conference at Siemens, Budapest.
Previously, I worked as a Quantitative Developer at Citibank's Market Quant Analysis department, contributing to software engineering in the Cross Asset Development team at the intersection of technology and quantitative finance, developing tools for identifying hotspots across diverse asset classes. I've also taught Object-Oriented Programming (OOP) and Python to 140+ students at ELTE Faculty of Informatics, an experience that sharpened my ability to communicate complex ideas clearly.
Core stack: Python, C#, Java, FastAPI, React, Docker, REST APIs, with hands-on experience in FHIR standards and blockchain smart contracts.
I'm drawn to roles with tangible impact, particularly in digital health, medical image processing, secure data systems, and automation. Always open to a conversation and open to joining conferences and hackathons in Europe.
โ navneetkishan.me
- Artificial Intelligence(AI)
- Medical Image Processing
- ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ค
- ๐๐ผ๐บ๐ฝ๐๐๐ฒ๐ฟ ๐ฉ๐ถ๐๐ถ๐ผ๐ป ๐๏ธโ๐จ๏ธ
- ๐ฎ๐ป๐ฑ ๐ฎ๐ป๐๐๐ต๐ถ๐ป๐ด ๐๐ต๐ฎ๐ ๐ฐ๐ฎ๐๐ฐ๐ต๐ฒ๐ ๐บ๐ ๐ถ๐ป๐๐ฒ๐ฟ๐ฒ๐๐ !!!๐
- Python
- C#
- Java
- FastAPI
- React
- Docker
- REST APIs
- Python 3-based chatbot integrated with Discord API and OpenAI's text-davinci-003 model.
- Intelligent fraud detection and prevention platform using data-driven approaches.
- Python 3-based bot leveraging OpenAI's ChatGPT model 3, AWS, Twilio, and Ngrok.
- Interactive game blending Javascript, HTML and CSS, where users strategically position patterns within a grid to complete missions and earn points, delivering an engaging gaming experience through DOM manipulation and a JavaScript scoring program.
- Implemented a machine learning model using Python, numpy, pandas, and scikit-learn with Logistic Regression to predict whether SONAR data represents a Mine or Rock. Trained on a Kaggle dataset, achieving impressive accuracy.
Portfolio
