Rudra Narayan Rauta

At CodeAlpha, I performed exploratory data analysis, data cleaning, statistical analysis, anomaly detection, and hypothesis testing using Python. I also visualized revenue trends, category performance, customer spending, and regional patterns.

I completed and documented three data analytics projects, including work on exploratory analysis, data visualization, and sentiment analysis using VADER Sentiment and TextBlob. I published the projects on GitHub.

Through the Python Technology Stack internship at Infosys Springboard 7.0, I developed Smart Finance Insights, a financial tracking and analytics application using Python, Flask, and SQLite. It includes a reporting dashboard and features for tracking spending patterns and budget adherence.

I'm pursuing Data Science with AI training at Naresh IT in Hyderabad while developing practical skills in data analysis, business intelligence, and machine learning. I’m seeking an entry-level Data Analyst or Junior Data Analyst role where I can apply my analytical skills to real-world business challenges.