Brindha D

I am an aspiring Data Analyst with a solid foundation in statistical methods, programming, and data visualization, focused on turning raw data into actionable business insights.

I have hands-on experience in data preprocessing, exploratory data analysis, feature engineering, and predictive modeling, demonstrated through projects in sentiment analysis and customer segmentation.

My technical toolkit includes Python, SQL, Pandas, NumPy, scikit-learn, Power BI, Matplotlib and Seaborn, which I use to build reproducible analyses and dashboards that support decision-making.

I value analytical rigor, clear communication, and practical problem-solving, and I am eager to contribute to data-driven teams that tackle real-world business problems.