Summary
Work History
Education
Skills
Timeline
Projects

Saikrishna Pasupunuri

Hyderabad

Summary

Computer Science graduate skilled in C, Java, Python, Data Structures & Algorithms with knowledge of OS concepts, computer networks, and databases (SQL, MySQL). Built projects in Blockchain, Deep Learning, Web Development , with strong problem-solving skills.

Work History

Intern

Accenture
02.2025 - 06.2025
  • Gained hands-on experience in enterprise application development and cloud-based systems.
  • Worked on data integration and automation workflows using tools like EIB, iLoad, DGW, and APIs.
  • Applied data structures, algorithms, and debugging skills to optimize workflows and resolve issues.
  • Collaborated in agile teams, contributing to delivering solutions within deadlines.

Education

Bachelor of Technology - Computer Science

Gokaraju Rangaraju Institute of Engineering And Technology, Hyderabad
05-2025

Skills

  • Languages: Java, Python, C
  • Web Technologies: HTML, CSS, JavaScript
  • Web Dev Tools: VS code, Git, Github
  • Frameworks: matplotlib, pandas, seaborn, scikit-learn, tensorflow, numpy
  • Cloud/Databases: Relational Database(MySQL)
  • Relevent Coursework: Data Structures & Algorithms, Machine learning, Object Oriented Programming, Database Management System, Operating Systems
  • Soft Skills: Problem Solving, Self-learning, Presentation, Adaptability

Timeline

Intern - Accenture
02.2025 - 06.2025
Gokaraju Rangaraju Institute of Engineering And Technology - Bachelor of Technology, Computer Science

Projects

Project 1: Revolutionizing Health Assets with Blockchain and   Homomorphic Encryption.

· Developed a secure health record management system using Blockchain   and Homomorphic Encryption.

· Ensured data privacy and accessibility across stakeholders.

· Improved security of sensitive medical data with encrypted transactions.

Project 2: Web Content Classification System.

· Developed a real-time web content classification system that analyzes and categorizes websites into 16 categories using the DistilBERT NLP model.

· Integrated the model with a custom Chrome Extension to evaluate each URL entered by the user and classify its category.

· Implemented an access control mechanism where the webpage is rendered only if its category belongs to the allowed list.

Project 3: Intrusion Detection System (Deep Learning).

· Built a deep learning–based IDS for detecting anomalies in network traffic.

· Applied data preprocessing, model training, and real-time detection for improved accuracy.

Project 4: Email Automation (Python).

· Automated email sending with randomized password generation.

· Used string manipulation & libraries for secure workflow.

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Saikrishna Pasupunuri