During my incredible journey with Mastercard, I had the fantastic opportunity to contribute to an innovative fraud detection project. By tapping into the power of Python and its amazing libraries, I successfully developed advanced machine learning models like K-Means Clustering and Isolation Forest, embracing the latest unsupervised learning techniques. My hands-on experience with AWS Cloud Services—utilising tools like Lambda, Glue, SQS, SNS, Athena, RDS, S3, and Secrets Manager—has ensured that our solutions are not just robust but also scalable, leading the charge in revolutionising fraud detection.
At Midwich, a leading stock exchange-listed company in the UK, I played an integral role in creating a cutting-edge AI Operations System that highlighted Python’s versatility. This dynamic system seamlessly integrated REST APIs to monitor equipment from top audio-visual vendors and various IoT devices. By merging these advanced technologies, we transformed intricate data into insightful charts and graphs using Python and Node.js, making data analysis accessible and impactful.
Throughout my career, I’ve continuously honed my skills with powerful libraries like Pandas, PySpark, Flask, NumPy, Matplotlib, Plotly Dash, and Seaborn. This journey has equipped me to deliver impactful, data-driven solutions that truly create value. I’m genuinely enthusiastic about the future and fully confident that I can make a meaningful difference as a dedicated contributor in any tech environment.
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