BHARATH KUMAR NANGUNURI

Innovative data scientist with a robust background in machine learning, statistical analysis, and predictive modeling. Skilled in translating complex datasets into actionable insights that drive decision-making and business strategy improvements. Demonstrates strong problem-solving abilities and mastery of Python, R, SQL, and data visualization tools. Previous work has led to significant enhancements in operational efficiency and revenue growth through data-driven strategies.

• Architecting with Google Compute Engine, Google Cloud
• Data Science, Coders Cave,
• Digital Marketing, Google Digital Garage
• RPA Testing with Studio Pro, UI Path
• Workshop on Android App Development, IIT Hyderabad

The Blood Boon

To develop a software application that enables communication between blood donors and recipients., HTML, CSS, JavaScript, This project developed an interface for people to find a required blood group.

Smart Home Automation

An IOT application, To develop an innovative IOT application for making a home smart with technology., Arduino IDE, MQ4, Ultrasonic, PIR, ESP8266 module, This versatile application offers a seamless, user-friendly experience, as it not only detects and addresses safety issues but also prompts the user. 

Classification of Breast Cancer Using Ensembled Learning

Classification of breast cancer using ensemble learning combines predictions from multiple machine learning models SVM and RBF to improve diagnostic accuracy. By aggregating diverse model outputs, this method enhances robustness and reliability in distinguishing between benign and malignant cases.

Apple Leaf Disease Detection Using Fine tuned Model

Apple leaf disease detection using a fine-tuned model involves training a pre-existing deep learning architecture (e.g., ResNet or MobileNet) with labeled apple leaf images to identify diseases accurately. This approach enhances precision and efficiency by leveraging transfer learning and domain-specific data.

• The Blood Boon, OITS 2022, LINK
• Classification of Breast Cancer using Ensembled Learning, IEEE TEMSCON ASPAC 2023
• IOT applications on SMART HOME AUTOMATION
• Customer churn prediction using hierarchical clustering and random forest