Bharath Kumar Korada

Pursuing full-time role that presents professional challenges and leverages interpersonal skills, effective time management, and problem-solving expertise.

Event Coordinator – College Cultural Fest (March 2023)

National Service Scheme (NSS) Volunteer ( 2021-2024)

Time-Management

Active-listening

Adaptability

Major Project : Machine learning enhanced student result management system:

· Implemented machine learning models to predict student performance and identify at-risk students for early intervention.

· Created interactive dashboards to provide real-time insights into student performance trends and outcomes.

· By leveraging historical academic data, the system aims to identify patterns and in sights that can help educators and institutions  in decision-making  processes, curriculum  design ,and  personalized student guidance.

· Increased grading accuracy by 30%.

· Improved early intervention strategies, leading to a 15% increase in student retention rates.

· The proposed system not only automates result management so introduces predictive analytics to forecast academic outcomes, thereby facilitating pro active interventions.

Minor Project :House Price Prediction Using Machine Learning

• Developed a machine learning model to predict house prices in Seattle using a Ridge Regression algorithm. The model was deployed as a web application using Flask to allow user interaction.
• Tools & Technologies :Python Libraries: Pandas, NumPy, Scikit-learn, Matplotlib
  Model: Ridge Regression for regularized linear predictions
  Web Deployment: Integrated the model with a user-friendly Flask web application, where users input house features like number of bedrooms, bathrooms, and zip code to get price estimates.
• Accuracy: R² score: The Ridge Regression model achieved an accuracy of 75-85%, depending on hyper parameter tuning and feature selection.

Python for DataScience, NPTEL Swayam