Jaya Teja Challagundla

Knowledgeable Student talented at learning quickly and adding value to any team. Strong history of successful projects using leadership, communication and teamwork to complete tasks. Solid academic achievement paired with demonstrated commitment and integrity.

• I was a peer mentor in my academic subjects which involves learning and exploring the subject along with teaching and explaining the subject to my fellow students.
• I also helped my Professors with their research and also was part of preparing the lab materials.

Hourly energy consumption forecast : From the given data built a model that Predict how much energy the power companies in the datasets will consume in the next 12 months.

Deep learning algorithm technique known as Recurrent Neural Networks (RNN) and Long-Term Short Memory (LSTM) are applied on a time series data set consisting of hourly energy consumption for different counties

Evaluated the results using RMSE, MAE and R2 scores

Pneumonia Detection using Chest X-rays 

• Implemented a novel method for multivariate pneumonia classification using a hybrid CNN-PCA based feature extraction approach with CXR images. 

• Applied a CNN model to improve the accuracy of the classification. 

• The model developed helped in increasing the accuracy up to 95% .

• Data Science Certification by Excelr
• Huawei Certification for Artificial Intelligence - Global Certification
• Huawei Certification for Routing and Switching - Global Certification