MILAN MOHAKUD

Final-year B.Tech Computer Science Engineering student with expertise in Java, C, and Python. Demonstrated proficiency in web development and database management, utilizing HTML, CSS, and MySQL. Strong problem-solving skills and experience in algorithm optimization, capable of delivering efficient and scalable solutions. Committed to continuous learning and eager to contribute to innovative projects that enhance organizational success.

Water Consumption Prediction using ML: This project explores the use of machine learning techniques to predict water consumption, addressing critical issues such as water wastage and scarcity. By leveraging historical daily water consumption data, including climatic conditions, seasonality, holidays, and household size, the system forecasts future water demand with high accuracy. Advanced algorithms like Random Forest Regressor, Prophet, SARIMA, and DNN were implemented and evaluated using performance metrics such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE) and R².

• Odia
• Hindi
• English