Mathew Joy

Data-driven professional with hands-on experience designing, developing, and deploying automated trading and decision-making systems using Python and quantitative methods. Proven ability to work with large datasets, apply statistical and machine learning techniques, and build rule-based algorithms for real-time execution and performance monitoring. Experienced in data preprocessing, backtesting, predictive modeling, and process optimization within structured and time-sensitive environments. Strong analytical mindset with the ability to translate complex data into actionable insights and communicate effectively with technical and non-technical stakeholders. Eligible to work in the United Kingdom without restriction under a Dependent Visa, with full right to work and no sponsorship requirement.

I am an Algorithmic Trader and Quantitative Analyst with hands-on experience in developing automated, data-driven systems using Python, statistical analysis, and machine learning techniques. My professional background includes building predictive and rule-based models, performing large-scale data preprocessing, analyzing trends and patterns, and optimizing real-time decision workflows. I have worked within structured environments that require accuracy, performance monitoring, and adherence to defined processes.

In addition to quantitative and data science roles, I have experience as a technical trainer, which strengthened my ability to communicate complex technical concepts clearly and collaborate effectively with cross-functional teams. I am highly adaptable, detail-oriented, and motivated to apply AI, machine learning, and analytics to solve real-world problems, particularly in automation and smart manufacturing contexts.

I am fully eligible to work in the United Kingdom under a Dependent Visa with full right to work and no sponsorship requirement.

Bachelor’s degree in Electronics and Communication Engineering from Cochin University of Science and Technology (CUSAT), with academic exposure to mathematics, statistics, algorithmic thinking, signal processing, and programming, forming a strong foundation for machine learning, data science, and AI-driven automation.