Kavya Sri Motamarri

About

Aspiring software engineer with a strong foundation in Java, Python, SQL, and software development. Experienced in building machine learning and data-driven applications, with practical skills in Power BI, Excel, and AI/ML techniques.

Education

• Integrated M.Tech in Software Engineering
  VIT-AP University
  Software Engineering · Aug 2022 – May 2027
• Senior Secondary (12th Grade)
  Narayana Junior College
  Feb 2020 – May 2022
• Secondary (10th Grade)
  Narayana e-Techno School
  Jun 2019 – May 2020

Skills

• SQL <3 months
• C <3 months
• CSS <3 months
• Data Structures <3 months
• HTML <3 months
• Python <3 months
• Java <3 months
• JavaScript <3 months
• NumPy <3 months
• Pandas <3 months
• scikit-learn <3 months
• OpenCV <3 months
• TensorFlow <3 months
• PHP <3 months
• CNN (Convolutional Neural Network) <3 months
• Keras <3 months
• RESTful APIs <3 months
• SDLC <3 months
• Model Tuning <3 months
• Transfer Learning <3 months
• Oop <3 months

Tools / apps / platforms

• Figma <3 months
• Git <3 months
• GitHub <3 months
• Microsoft Excel <3 months
• Microsoft Power BI <3 months
• VS Code <3 months

Projects

• Marine Species Detection Using Transfer Learning
  DenseNet121, Transfer Learning, Deep Learning

  Built an image classification model to identify marine species from image data. Trained and evaluated on 806 images across 9 classes, achieving 86% classification accuracy.

• Resume Screening System
  Python, Machine Learning, PDF Parsing, Text Preprocessing, Feature Extraction

  Developed an automated resume screening tool that extracts candidate information from PDF resumes and predicts job categories with 99.4% accuracy.

• Brain Tumor Classification
  ResNet, Deep Learning, MRI, Transfer Learning, Data Augmentation

  Developed a model to classify brain tumors from MRI scans into four categories, achieving 99.3% test accuracy.

Courses & certifications

• Cyber Security · Deloitte
• Python for Data Science · IBM
• Java Fundamentals · HackerRank
• Data Engineering · GUVI

⚽ Extracurricular activities

• HackIT 2K24 Participant

  Competed in HackIT 2K24 organized by LBRCE in collaboration with ACM and CSI student chapters, working in a team to design and prototype technical solutions under time constraints.

📚 Publications

• Marine Species Detection Using Transfer Learning: A Deep Learning Approach · 2025