JAYA SURYA NATHI

Improved data-driven decision support by developing and evaluating machine learning models using scikit-learn, applying hyperparameter tuning, cross-validation, and feature selection to achieve a 15% accuracy improvement. Optimized operational data workflows by automating ETL data-cleaning pipelines across 10,000+ rows, removing duplicates and standardizing categorical formats, reducing preprocessing time by 30%. Analyzed 5,000+ records through EDA and data wrangling to identify 8+ key correlations and outliers, reducing the feature set by 30% and improving model training efficiency by 20%.