Rishitha Koppula

Graduate student in Data Science with a strong foundation in data analysis, statistical modeling, and software engineering. Passionate about utilizing analytical programming, machine learning, and data visualization to extract insights and drive data-driven decision-making. Seeking an opportunity to contribute technical expertise in data analytics while enhancing skills in data management and reporting.

Can We Predict Lung Cancer Risk Based on Habits and Symptoms?

• Developed a predictive model in R to assess the probability of lung cancer based on individual habits and symptoms., Utilized Random Forest and Logistic Regression models on train and test datasets., Prioritized accuracy, specificity, and sensitivity for effective detection., Overall, Random Forest model demonstrated superior performance, aligning with the project's goal of reliable diagnosis.

Real Time Wrong-Way Vehicle Detection

• Developed an advanced in-vehicle system for police cars, enabling real-time image capture in both motion and parked states. Utilized image processing to extract license plate details and automated the transmission of images with location, date, and time to the traffic department.