Mallela Niteesh Kumar

I’m a Computer Science graduate (2025) seeking a Data Analyst role, and I bring hands-on experience turning complex datasets into clear, actionable insights for data-driven decision-making. I’m proficient in Python, SQL, and Power BI, with a strong focus on exploratory data analysis and dependable data preparation.

In my Movie Analysis Dashboard project, I transformed 1,000+ movie records in Power Query by resolving nulls, duplicates, and inconsistent formats to ensure high data accuracy before modeling. I built an interactive Power BI dashboard with DAX measures, slicers, and drill-down features to visualize revenue trends, audience ratings, and genre performance.

I also designed a Grocery Store Management System using SQL and MySQL by architecting a fully normalized relational database with 8 tables (primary keys, foreign keys, and 3NF). For CoinMarketCap Cryptocurrency Price Analysis, I engineered a web scraping pipeline with BeautifulSoup to collect 1,000+ records and 50+ financial metrics, then delivered 10+ visualizations to identify price trends, volatility, and correlations.

Through the Deloitte Data Analytics Job Simulation (Forage), I analyzed 2,000+ business records using Python and Excel to detect trends, anomalies, and data inconsistencies. I processed and validated raw datasets with SQL to improve consistency across reporting pipelines, and I developed dashboards and structured reports to communicate key findings to stakeholders.