Pranava Sai Gampa

I’m a highly analytical software engineer and data scientist with a strong foundation in Data Analytics and Full-Stack development. I’m proficient in Python, Java, and SQL, and I focus on building scalable, data-driven solutions and high-performing web applications.

In my Data Analyst Internship, I analyzed US-based business datasets using Excel, Python (Pandas, NumPy), and Power BI to generate actionable insights. I performed data cleaning, transformation, and validation to ensure reporting accuracy, and I developed interactive Power BI dashboards for KPI, revenue, and operational metrics tracking.

As a Software Engineer Trainee, I developed and maintained Java GWT (Google Web Toolkit) and Spring Boot modules, supporting feature updates and system stability. I optimized SQL queries to improve database efficiency and application response times, working in daily Agile stand-ups with Git-based collaborative code reviews.

My Data Science Internship strengthened my end-to-end workflow—prioritizing data cleaning and transformation for large datasets, deriving actionable market insights with Python and SQL, and visualizing results through Power BI dashboards. I also explore PySpark basics for potential big-data processing needs, and I enjoy turning data into clear, usable products.