VASAVI SRI MANNAM

Data-focused professional with a Master’s degree in Data Science and Analytics (GPA 3.8) and extensive experience in data engineering and machine learning. Proven track record at Cognizant, contributing to enterprise-level projects and developing end-to-end data pipelines and ML models. Published research demonstrates strong analytical skills and commitment to advancing data-driven solutions.

• Enhanced Image Denoising using RDUNet with SE Blocks and Self-Ensemble Inference, Designed and implemented an enhanced Residual Dense U-Net (RDUNet) architecture with Squeeze-and-Excitation (SE) blocks, Applied self-ensemble inference using test-time augmentations to improve robustness, Trained on the DIV2K dataset and evaluated on CBSD68, Kodak24, and Urban100 benchmarks, Achieved competitive PSNR and SSIM results across multiple noise levels.
• BlogEcho – Sentiment-Driven Blogging Platform, Developed a full-stack blogging platform using Django with role-based access control, Integrated NLP-based sentiment analysis using TextBlob, Built backend APIs and data flow from ingestion to sentiment classification.
• Skin Lesion Segmentation & Classification (Published Research), Built a deep learning pipeline using U-Net for segmentation and MobileNet for classification, Applied data preprocessing and augmentation techniques, Published in IJFANS (International Journal of Food and Nutritional Sciences)