Chakrapani Gajji

• Developed and validated ML models for agricultural forecasting using Python and scikit-learn on datasets of 100K+ records, improving forecast precision by 15%. • Customized Streamlit dashboards to visualize ML outputs for stakeholders • Collaborated with faculty and graduate teams to translate research data into actionable insights • Unveiled key patterns in crop yield data through rigorous exploratory data analysis, leading to a 10% enhancement in the precision of yield forecasting models.