Shivansh Arora

I am a dedicated and results-driven BCA student at Chandigarh University with a strong interest in computer science, problem-solving, and software development. With hands-on experience in developing data-driven solutions and a solid foundation in programming, I aim to leverage my analytical thinking and adaptability to contribute to real-world technological challenges. My academic background, coupled with practical project experience, equips me with a keen understanding of software development, AI, and data analysis. I am eager to apply my skills in a dynamic work environment, focusing on innovation and continuous growth.

Detail-oriented and passionate BCA student with a strong foundation in programming, machine learning, and data analysis. Seeking to leverage technical expertise in Python, AI frameworks, and natural language processing to contribute to innovative projects in software development and artificial intelligence. Dedicated to enhancing user-centric solutions and driving impactful digital transformation through continuous learning and technical proficiency

• AI for Beginners, HP LIFE: Acquired foundational knowledge in artificial intelligence, covering key concepts, applications, data significance, and ethical implications
• Foundations of Cybersecurity, Google (via Coursera) - Completed December 5, 2024: Covered the fundamentals of cybersecurity, including best practices for online security and risk management
• Introduction to Interactive Programming in Python, Rice University (via Coursera), Completed Parts 1 and 2- focusing on foundational skills in Python programming for interactive applications, November 2024
• Cyber Security: Understanding Threats and Preventing Attacks, Alison (CPD Certified)

1- Automated System for Detecting Online Bullying and Harassment

• Developed an AI-driven system to identify and mitigate online bullying and harassment in real-time.
• Utilized Python, TensorFlow, and Keras for Natural Language Processing techniques including tokenization, stemming, TF-IDF, and word embeddings in text analysis and machine learning
• Designed and trained models, including SVM, Random Forest, and Neural Networks, achieving high accuracy in detecting harmful content.
• Integrated the system with online platforms for real-time monitoring and automatic alert generation.

2- Crime File Management System

• Designed and implemented a system for managing and analyzing crime data efficiently.
• Created dashboards and reports to support decision-making and improve operational workflows.
• Enhanced data accuracy and reduced processing time by streamlining workflows and optimizing system performance.
• Collaborated with stakeholders to ensure the system's usability and alignment with organizational needs.