I am a B.Tech Computer Science student with a strong interest in Data Analytics and a long-term goal of becoming a Data Scientist. My journey began with programming and web development, but over time I discovered that I enjoy working with data, uncovering patterns, and solving real-world problems through analysis. To build a solid foundation, I focused on Python, SQL, Pandas, NumPy, Matplotlib, Excel, Power BI, and Streamlit while strengthening my problem-solving ability by solving 200+ Data Structures & Algorithms questions. This combination has helped me develop both analytical thinking and efficient coding skills.

I believe the best way to learn is by building. That's why I have created projects such as Netflix Data Analysis, Student Result Analysis, Smart College Bus Route Optimization, and other data-driven applications. Alongside my projects, I am currently advancing my SQL skills by solving practical database challenges and learning FastAPI to build scalable backend APIs for data-driven applications.

My next step is to explore Power BI more deeply and build interactive dashboards that transform raw data into meaningful business insights. My goal is to become a Data Analyst who not only analyzes data but also builds practical solutions that create real-world impact, while continuously progressing toward Data Science.

I'm currently building real-world data analytics projects while expanding my skills in Advanced SQL and FastAPI. My focus is transforming raw data into actionable insights through analysis, visualization, and interactive dashboards. I'm always excited to collaborate on data-driven projects, internships, and opportunities where I can learn, contribute, and solve meaningful business problems.