Sreeja Malladi Email & Phone Number

Santa Clara, Ca, Us

Santa Clara, California, United States

Led research project leveraging 3D medical imaging and deep learning for automated detection of Gross Tumor Volumes (GTVs) and lymph nodes in head and neck CT/PET scans.Employed PyTorch and Monai framework to develop a multi-channel 3D convolutional neural network (CNN), achieving a dice score of 0.681 enhancing the accuracy in tumor and lymph node detection.Optimized model performance by applying Monai transformations including resampling, cropping, and scaling on multi-modal CT/PET… Show more Led research project leveraging 3D medical imaging and deep learning for automated detection of Gross Tumor Volumes (GTVs) and lymph nodes in head and neck CT/PET scans.Employed PyTorch and Monai framework to develop a multi-channel 3D convolutional neural network (CNN), achieving a dice score of 0.681 enhancing the accuracy in tumor and lymph node detection.Optimized model performance by applying Monai transformations including resampling, cropping, and scaling on multi-modal CT/PET images. Show less

Santa Clara, California, United States

Led end-to-end research project applying longitudinal LSTM neural network model in Keras for real-time influenza forecasting, predicting weekly case counts at different levels.Designed and developed feature engineering pipeline in Python for preprocessing multi-source data including CDC ILINet, Google Trends data for model training/inference.Developed interactive forecasting web application with MATLAB App Designer and Python, containerizing with Docker for cloud deployment.

India

Built scalable ETL pipeline to integrate unstructured open government data from 20+ municipal sources, transforming into standardized format for analysis.Engineered interactive dashboard using Pandas and Matplotlib, providing dynamic visualizations of revenue and expenditures across 17 state governments.Designed real-time data processing architecture leveraging Kafka and PySpark to ingest streaming semi-structured data from 20+ APIs and databases.

India

● Knowledged on multi landscape environments ABAP, Java, Business objects and Data services.● Experience in Oracle/HANA database including tuning, refresh, backup and recovery skills.● Design and document security administration policies and procedures for production environmentand train helpdesk to perform basic operations tasks on SAP

Hyderabad, Telangana, India

Developed a Python-based facial recognition software using OpenCV and deep learning techniques, achieving an 83% accuracy rate during testing.Trained the model with Haar Cascade Classifier for face detection and the Local Binary Patterns Histogram algorithm for facial recognition, ensuring robust performance.Implemented a user-friendly interface with Tkinter and established efficient data management using Pandas and SQLite3 for seamless database operations.

Master'S Degree, Computer Science

Bachelor'S Degree, Computer Science, 9.39