Summary
Overview
Work History
Education
Skills
Certification
Timeline
ADDITIONAL QUALIFICATIONS
Projects
Volunteer

Sukhampreet Kaur

Bangalore

Summary

Detail-oriented and proactive B.E. Cybersecurity student with hands-on experience in building practical software solutions, including automation tools, security-focused applications, and optimization systems. Proven ability to design and develop projects using Python, C, Node.js, and SQL. Demonstrates strong problem-solving skills, a keen interest in digital security, and a drive to contribute to innovative tech environments. Eager to gain industry exposure and deepen expertise in cybersecurity, system monitoring, and secure application development.

Overview

1
1
Certification

Work History

Volunteer

U&I
06.2025 - Current

Developed and implemented engaging lesson plans that adhered to state educational standards and fostered student participation.

Education

Delhi Public School Bangalore South

Bachelor of Engineering (B.E.) - Computer Science - Cyber Security

RNS Institute of Technology
07.2027

Skills

  • Positive attitude
  • Teamwork and collaboration
  • Organized and efficient
  • Problem-solving

Certification

  • Infosys Springboard

-Data Structures and Algorithms

-Java SE8 Features

-Digital Electronics

-Internet of Things

-Basics of Python

-Programming in C

  • Coursera

-Data Analysis Using SQL

-Security Governance & Compliance

-Algorithmic Thinking (Part 1)

-Security Foundations, Threats, and Network Protection

-Discrete Mathematics

Timeline

Volunteer

U&I
06.2025 - Current

Bachelor of Engineering (B.E.) - Computer Science - Cyber Security

RNS Institute of Technology

Delhi Public School Bangalore South

ADDITIONAL QUALIFICATIONS

  • Demonstrated problem-solving ability through software projects and coursework.
  • Skilled in collaborative environments, effectively communicating technical solutions.
  • Adaptable and eager to contribute to cutting-edge technology innovations.

Projects

  • Restaurant Management System | Python

 Faced with inefficiencies in restaurant operations, identified the need for an automated system.

Designed and implemented a Python-based management system, integrating order processing and inventory tracking, resulting in streamlined operations and reduced -

 -Manual errors by 30-50% .

 -Order processing speed improvement by 40-60% .

 -Stock mismanagement decrease by 25-45% .

  • Radar System | Arduino

To enhance real-time object detection by 20-40%, developed an IoT-based radar system using Arduino.

Engineered sensor-based tracking, ensuring accurate distance measurements.

The system improved object identification capabilities, demonstrating practical applications in surveillance and automation.

Increasing object identification efficiency improvement: 30-50%.

  • Cashflow Minimizer | C

Addressing the challenge of cash flow mismanagement, devised an optimization tool leveraging data structures in C reducing redundant transactions by 30-55%.

Leading to improved financial tracking by 35-60% and efficient budget management.

  • Automated Timetable Generator Web Application | Node.js, Express, SQLite

Faced the challenge of students manually creating timetables prone to subject clashes and inefficiency; set out to build an automated system to generate conflict-free schedules.

Developed a web app using Node.js, Express, and SQLite with a clean frontend form that allowed users to input selected subjects. Implemented backend logic to detect and resolve clashes, suggest alternate slots, and manage multiple users simultaneously.

 Achieved a 70% reduction in time taken to create timetables compared to manual methods and improved scheduling accuracy by 90%, making it highly practical for academic environments.

  • Keylogger Detector App | Python, psutil, tkinter

With growing concerns around digital privacy, identified the risk of hidden keyloggers compromising user input.
Built a lightweight keylogger detection app that scans active processes and alerts users via a GUI.
Resulted in a 60–80% improvement in early detection of suspicious activity for non-technical users and improved awareness of system-level threats.

Sukhampreet Kaur