Venkata Dishita Gogisetty

I've built machine learning and full-stack applications that solve practical problems in sustainability, education, healthcare, and business forecasting.

For an AI-based e-waste classification project, I engineered a Python and Scikit-learn model, applying preprocessing, feature selection, hyperparameter tuning, and visual analytics to support sustainable waste-management decisions.

I also developed a rural education platform with React.js, Node.js, and MySQL, as well as a blood donation management system that connects donors and recipients through search, matching, and structured database management.

My sales forecasting dashboard benchmarked Linear Regression, Decision Tree, Random Forest, XGBoost, LightGBM, and Prophet models to turn forecasts into actionable insights. I'm eager to bring my analytical thinking and fast-learning mindset to an entry-level software engineering role.