👋 Hi, I’m Arun Bhandari, an aspiring data analyst with a Bachelor of Engineering in Electronics and Computer Science (ECS). My passion for data analysis started in college, where I gained a solid foundation in data collection, data analysis, and data visualization. I developed skills to work with data and turn it into useful insights for solving real-world problems. During my time in college, I learned how to clean, organize, and analyze large datasets to find trends and patterns. This experience sparked my interest in using data to help make better decisions. I also learned to use data visualization tools to present my findings clearly, making complex data easy to understand. One of my most valuable experiences was during my Business Management Internship, where I applied my skills to real-world business problems. I worked with Excel and Tableau to clean and manage data. I created dashboards to help monitor key performance indicators (KPIs) and identify trends that could guide business decisions. I also researched CSR (Corporate Social Responsibility) activities of different organizations, analyzing data to understand the impact of these initiatives and sharing insights with senior team members. This experience deepened my desire to pursue a career in data analysis. Throughout my academic journey and internship, I have gained strong skills in SQL, which I use to manipulate and analyze data. I also became proficient in tools like Power BI and Tableau to create interactive dashboards and visualizations that support decision-making. These tools have been key in helping me present data clearly to others. I’m passionate about using data to solve problems and drive change. I enjoy the challenge of working with complex data and finding insights that help businesses make better decisions. I believe that data is a powerful tool for achieving goals, and I’m excited to keep learning and applying my skills to new challenges. Looking ahead, I’m keen to expand my knowledge of machine learning and data analysis. I see these areas as essential for solving complex problems and making data-driven predictions. I’m excited to apply advanced techniques and contribute to projects that use data to create real-world impact. My skills, combined with my passion for data, will allow me to contribute meaningfully to any data-driven team.