As a Trading Associate at Global Monarch, I apply my data analysis skills to support the company's international trade operations. I use Python, R, SQL, and data visualization tools to process and analyze large datasets, generate reports, and provide insights on market trends, risks, and opportunities. I collaborate with a diverse team of traders, analysts, and managers, contributing to the company's strategic goals and performance.My passion for data analysis stems from my strong academic background in Big Data Science. I graduated from Queen Mary University of London with a MSc degree, where I learned and applied various statistical and machine learning techniques, such as regression, classification, clustering, and natural language processing. I also have a BSc degree in Mathematics, Computer Science, and Statistics from Christ University, Bangalore, where I developed my logical and computational thinking skills. Beyond my professional and academic pursuits, I have a deep love for sports analytics, merging my data expertise with my enthusiasm for sports. I enjoy exploring and visualizing sports data, finding patterns and correlations, and creating predictive models. I also share my findings and opinions on various sports platforms and blogs, engaging with other sports enthusiasts and data analysts. I am always eager to learn new skills, tools, and methods to enhance my data analysis capabilities and expand my knowledge. Let's connect to explore how we can make data-driven decisions and unlock the power of data in the world.