Data Science Intern
As a Data Science Intern, I worked on analyzing structured datasets using statistical techniques to uncover trends and insights. My role involved building, evaluating, and improving machine learning models, as well as performing extensive data cleaning and transformation for analysis. I utilized Python, SQL, and libraries such as Pandas, NumPy, and Scikit-learn to complete my tasks and drive results. • Applied statistical methods to identify key patterns and business insights from large data sets. • Built and optimized classification and regression models to enhance prediction accuracy by 15%. • Used SQL to extract and analyze data from relational databases, supporting reporting needs. • Cleaned and transformed datasets exceeding 10,000 records to ensure high-quality analytics.