I am a data engineer at MindGraph, a company that provides data-driven solutions for various industries. I have a bachelor of technology degree in artificial intelligence and data science from Karpagam Academy of Higher Education, where I am expected to graduate in 2024. My core competencies include recurrent neural networks (RNN), machine learning, and data science, which I apply to create and optimize data pipelines, models, and systems for MindGraph's clients. Recently, I completed a research internship at Kyungpook National University, where I worked on a project titled "Rule Discovery using Recurrent and Reinforced Relational Reasoning". I used the Monte Carlo search technique and Hamilton's graph, RNN, and reinforcement learning to discover and extract rules from complex and noisy data sets. This project enhanced my skills in data analysis, rule mining, and deep learning, and also sparked my interest in exploring the applications of AI and data science in various domains. I am motivated by the challenges and opportunities that data engineering offers, and I am eager to learn from and contribute to the team at MindGraph. I believe that I can bring diverse perspectives and experiences to the team, as I have a strong academic background, a passion for research, and a curiosity for innovation.