I’ve been working for a large German IT company, contributing to enterprise software projects for one of the biggest automotive companies. My experience covers full-stack development with Angular and backend services, focusing on building scalable, maintainable applications and delivering high test coverage to ensure quality. I’m passionate about combining technology and data to create impactful solutions.
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The Financial Risk Management System is a comprehensive web application designed to analyze S&P 500 stocks and provide predictive insights for stock price movements. It leverages Python for advanced data processing and implements multiple machine learning models such as LSTM, CNN, GRU, and Prophet, achieving around 78% forecasting accuracy. The app includes technical indicators like RSI, MACD, and SMA, along with Monte Carlo simulations to assess investment risks. It processes over 10 years of historical data for 500 companies and offers interactive visualizations built with Angular and Chart.js to help users make informed financial decisions.
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