PUJITHA TUMMALA

Motivated and detail-oriented Information Technology graduate with strong skills in Python, SQL, data analysis, and deep learning. Experienced in developing machine learning models, performing EDA, and building CNN-based image classification systems. Adept at handling real-world datasets, interpreting analytical results, and developing end-to-end solutions. Seeking admission into U.S. graduate programs in Data Science, Computer Science, or related fields.

• Remote Sensing Image Analysis Using Deep Learning, Built a deep learning system capable of analyzing satellite images for tasks such as land cover classification and object detection., Implemented CNN-based feature extraction and preprocessing modules., Visualized results through heatmaps, bounding boxes, and class maps., Conducted evaluation using accuracy, IoU, F1-score, and confusion matrices.

     Tech Stack: Python, TensorFlow, OpenCV, Matplotlib

• Breast Cancer Detection Using Deep Learning, Designed and developed a CNN-based breast cancer classification system using transfer learning., Achieved 99.48% accuracy using InceptionV3., Implemented image preprocessing, augmentation, and performance evaluation using precision, recall, specificity, and ROC curves., Compared multiple architectures to determine optimal model for medical imaging.

     Tech Stack: Python, TensorFlow/Keras, NumPy, OpenCV

• Ranked 21,286 out of 42,235 in Smart Interviews Global Smart Coder Assessment.
• Completed 56+ hours of Python programming and 12+ hours of SQL training.
• Participated in multiple academic ML and Deep Learning projects.

• SQL for Data Analytics & Business Intelligence – Udemy (2025)
• 100 Days of Code: Python Pro Bootcamp – Udemy (2025)
• Data Visualization with Tableau – Infosys Springboard (2024)
• Data Science Certification – EXCELR (2025)
• Smart Coder Certification – Smart Interviews (2024)