Aspiring quantitative researcher with a strong focus on machine learning (ML) and artificial intelligence (AI). I possess expertise in Python, MongoDB, TensorFlow, and PyTorch, which I’ve applied to diverse AI-driven projects. These include Autoencoders for Image Compression, a Maths Digit Recognizer, and an Automated Market Data Downloader, where I developed a robust system to scrape stock price data and store it efficiently using Python and MongoDB.I’m passionate about utilizing data-driven approaches and quantitative techniques to develop innovative algorithmic trading strategies. My goal is to apply cutting-edge ML methods to optimize trading models, enhance performance, and drive financial success. I am actively seeking opportunities in quantitative research and algorithmic trading, where I can leverage my AI and ML expertise to contribute to impactful, technology-driven financial solutions.