Kesavi Aravinthan

Model-Based Testing : Created Python-based financial system models to replicate real-world trading logic and generate test scenarios. Experienced with model based testing, financial trading, FIX Protocol, order matching, and order limit types. Front-End Development: Designed and developed a Next.js and React application enabling the Security Team to view and manage all test cases on a single webpage. Utilized JavaScript, Tailwind CSS, and Prisma ORM to deliver a responsive, scalable, and user-friendly UI.

Experienced with label encoding, one-hot encoding, normalization, and adding new features to datasets, data exploration and analysis to understand business context and extract meaningful insights. Familiarized with classification and regression models, including AdaBoost, Balanced Random Forest Classifier, XGBoost, CNN-LSTM, and attention-based architectures. Performed error analysis and computed classification metrics to ensure robust model performance. Presented data visualizations using Tableau.