Prem Prakash Sahu

I’m a Data Analyst with hands-on experience building analytics workflows across PostgreSQL and Python, and translating results into clear Power BI reporting. I focus on data cleaning, exploratory data analysis (EDA), and stakeholder-ready KPI reporting that helps teams move from data to decisions faster.

As a Data Analyst Intern, I cleaned and analyzed 19,000+ rows using Python and PostgreSQL to find trends and generate actionable insights, and I developed dynamic Power BI tracking dashboards that reduced manual reporting cycles by 35%. In my projects, I built an ML pipeline for Chronic Kidney Disease prediction using Scikit-Learn (Median Imputation and SMOTE) and achieved 98.75% test accuracy, while also delivering an Omnichannel Retail Analytics and Business Reporting dashboard using SQL and Power BI to uncover revenue growth, market dominance, and seasonal demand patterns.