Resume

Sumary

Rajesha C U

  • Bangalore,India
  • +91 6361914523
  • curajesha@gmail.com

Education

Master of Computer Application

2023 - 2025

RV College of Engineering, Bangalore

Currently pursuing a Master's degree in Computer Applications with a specialization in Data Science at RV College of Engineering, where I have actively engaged in a range of impactful live projects, honing my skills.

Bachelor of Science in Physics, Mathematics and Computer Science

2020 - 2023

NDRK First Grade College,Hassan

Throughout my BSc journey, I had the opportunity to undertake and successfully deliver two impactful projects as a freelancer. These projects included an e-commerce website and an employee management system, both tailored to meet the specific requirements of the respective clients.

Project Undertaken

Smart Contact Manager

  • Developed back-end with Java, Spring Boot, and Spring Data JPA, optimizing MySQL for secure data processing.
  • Built RESTful APIs for seamless integration, ensuring high performance for data-driven applications
  • Designed responsive front-end with HTML, CSS, and Tailwind CSS, enhancing user experience
  • Troubleshot integration issues and documented workflows, supporting Agile development with Git and GitHub

Advanced Malware Detection Using ML & DL

Advanced Malware Detection Using ML & DL is an AI-driven system for realtime detection and classifica on of malware in both Portable Executable (PE) files and URLs. It combines machine learning (Random Forests) with deep learning (LSTM) to achieve over 95% accuracy with low false positive rates. The system features a complete data pipeline—collec on, preprocessing, feature extraction, model training/evaluation and integrates the VirusTotal API for threat intelligence. A Flask-based REST API serves the models, while a Streamlit frontend offers users an intui ve interface for uploading samples and viewing detailed reports. Docker and Kubernetes ensure scalable, low-latency deployment

  • Data Processing: NumPy, Pandas
  • Machine Learning: Scikit-learn (Random Forests)
  • Deep Learning: TensorFlow, PyTorch (LSTM, Neural Networks)
  • Web/API Framework: Flask (REST API)