Overview
Work History
Education
Skills
Certification
Projects
Activities
Publications
Timeline
Generic

DIVYA SAI MANIKANTA VARRE

Fairfax,VA

Overview

1
1
Certification

Work History

Project Intern

Data Point Info Solutions
Hyderabad
07.2021 - 10.2021
  • Supported project managers in planning, coordination, and execution. Conducted research, analyzed data, and collaborated with cross-functional teams. Monitored timelines and delivered progress reports to stakeholders, gaining valuable project management experience.

Intern Trainee

Madhees Techno Consulting PVT LTD
Hyderabad
07.2021 - 08.2021
  • Engaged in comprehensive training programs to learn security protocols and procedures. Assisted in surveillance, access control, and emergency response. Contributed to security audits and vulnerability analysis, strengthening overall security measures.

Education

Master's - Computer Science

George Mason University
05-2024

Bachelor's - Computer Science Engineering with Specialization in Information Security

Vellore Institute of Technology
05.2022

Skills

Programming Languages

  • Python
  • C
  • Java

Functional Skills

  • Cryptography
  • Web Application Security
  • Network Security

Operating Systems

  • Windows
  • Linux

Certification

  • Front-End Web Development with React (with Honors), The Hong Kong University of Science and Technology, Coursera, 05/2021
  • Cryptography, (ISC), Coursera, 09/2021
  • Computer Architecture, Saint Petersburg State University, Coursera, 09/2019

Projects

STRESS DETECTION IN IT PROFESSIONALS

  • The main motive of this project is to detect stress in IT professionals using vivid Machine learning and Image processing techniques. Our system mainly focuses on managing stress and making the working environment healthy and spontaneous for the employees and getting the best out of them during working hours.

ENHANCEMENT OF ENCRYPTION ALGORITHMS BY PARALLELIZING

  • Executing IDEA, RSA, and RC-5 algorithms in the parallel chain using the multi-threading concept. When compared to serial execution the time complexity is much less when encryption algorithms are executed in parallel chains.

INTRUSION DETECTION OF IMBALANCED NETWORK TRAFFIC BASED ON MACHINE LEARNING AND DEEP LEARNING

  • This paper explores machine learning and deep learning techniques for detecting intrusions in imbalanced network traffic. It introduces a novel algorithm to address class imbalance, first dividing the training set into difficult and easy subsets. It then compresses majority samples in the difficult set and synthesizes new samples for minority samples. The resulting balanced training set enhances classifier learning and classification performance. Experiments on NSL-KDD and CSE-CIC-IDS2018 datasets validate the method's efficacy.

Activities

  • Member of the Zero Waste Management Club in VIT University, Vellore, (Sep2020 – Aug2022)
  • Secure Software Design and Programming, Grader(Sep2023-Dec2023)
  • Marketing Head (Indian Graduate Student Association George Mason University 2023-Present)

Publications

Enhancing Encryption Algorithms through Parallelizing, IJRASET Journal (International), 2321-9653, 45.98, 7.429, 9, VIII, Aug 2021, https://doi.org/10.22214/ijraset.2021.37839

Timeline

Project Intern

Data Point Info Solutions
07.2021 - 10.2021

Intern Trainee

Madhees Techno Consulting PVT LTD
07.2021 - 08.2021

Master's - Computer Science

George Mason University

Bachelor's - Computer Science Engineering with Specialization in Information Security

Vellore Institute of Technology
  • Front-End Web Development with React (with Honors), The Hong Kong University of Science and Technology, Coursera, 05/2021
  • Cryptography, (ISC), Coursera, 09/2021
  • Computer Architecture, Saint Petersburg State University, Coursera, 09/2019
DIVYA SAI MANIKANTA VARRE