Sushanthi Periyala

• Developed and maintained shipping labels, carrier electronic manifest and invoices with Java SpringBoot with microservice architecture .
• Hands-on experience with AWS services like EC2, S3, Lambda, RDS for storing data and performing DB activities .
• Performed CI/CD pipeline Integration using Jenkins to ensure high code quality and maintain rapid deployment cycles and scale systems efficiently.
• Well-versed in utilizing version control systems such as Git & HG to ensure efficient code management.
• Efficient Knowledge of containerization tools like Docker and orchestration systems like Kubernetes.
• Experience working in Agile or Scrum environments, managing sprints, and tracking project progress.

• • Built and validated a machine learning model to study human behavior and mentality towards Covid-19.
• Performed data science tasks including data collection, cleaning, imputation, visualization, statistical testing, and modeling using scikit-learn, pandas, SciPy, and matplotlib. Achieved an accuracy of over 78% using an ensemble model.
• • Enhanced existing research by applying a neural network model to solve partial derivative equations (PDEs) known as Minimal Surface using TensorFlow, NumPy, and Linux-based high-performance computing (HPC) clusters.

• Worked on Brain Tumor Detection using Morphological Preprocessing and deep CNN on MRI datasets.
• Preprocessed the MRI datasets using Python and achieved 93% accuracy using tensorflow, matplotlib, pandas.
• Utilized deep convolution neural networking to create a model that can differentiate between brain MRI images to mark the tumor presence.

Built web application using ReactJS as base along with python programming. The web app converts text to image and short video based on given prompt, mainly useful for content creators.

Gained knowledge on tools like reactJS,Express JS,Firebase,Vercel ,Material Ui.

• Built a tip calculator app,efficiently using Java ,Android SDK, XML layout design, and UI components in Android Studio.
• Deep understanding of responsive layouts, Material Design guidelines, and handling user input validation to create a seamless user experience.
• Implemented event listeners, data binding, and simple mathematical operations for real-time tip calculations.