Spandana Pasupulaty

Graduate with excellent research, technical, and problem-solving skills. Detail-oriented and able to learn new concepts quickly. Proactive and versatile professional with a dedication to quickly adapting to new challenges. Strong problem-solving abilities and a proven track record of fostering strong relationships with clients and team members. Focused on supporting team success and achieving positive results.

INTRODUCTION TO SOFT COMPUTING (NPTEL)

INTRODUCTION TO INTERNET OF THINGS(NPTEL)

INTRODUCTION TO MACHINE LEARNING(NPTEL)

SOCIAL NETWORK

JOY OF COMPUTING USING PYTHON

Enjoys working on personal projects to apply machine learning techniques to real-world problems, including data cleaning, feature engineering, model training, and evaluation.

Online food ordering system: This system was developed using Angular in the backend and JavaScript in the front end. We use this application to deliver food simultaneously for two different customers.

Paperless Office : This system was developed using JSP in frontend and Sql in the backend. In this system we use email to notify about the documents to the person.

Predicting the potentially Hazardous Asteroid to earth using Machine learning:   In this project, we apply various machine learning techniques and deep neural networks to classify asteroids as hazardous or non-hazardous and to identify the key features contributing to their classification. While many near-Earth asteroids exist, not all pose a threat. We have trained and compared multiple machine learning models to determine the most accurate method for this classification task.