AJAY CHANDRASEKARAN

Certified Salesforce Administrator with strong experience in CRM customization, web development, and IT system support. Adept at managing user roles, automating workflows, and optimizing business processes using Salesforce tools. Skilled in HTML, CSS, JavaScript, and SQL, with a solid foundation in both Windows and Linux environments. Proven ability to deliver secure and scalable solutions that improve operational efficiency and data integrity.

• Salesforce Certified Administrator
• Salesforce Certified App Builder
• Salesforce Certified Associate

Violence Detection usingWeb Scrapping from other website data.

• Tools: HTML, PHP, MySQL, XAMPP Server
  Developed a web-based system to detect violent content by scraping and analyzing text data from external websites. Implemented backend logic to parse and store extracted data in a structured format, enabling the identification of violence-related keywords and patterns. Focused on improving detection accuracy while generating concise content summaries. This project demonstrated practical skills in web scraping, data handling, and content classification using custom logic.

Network Controller with Graphical Reports

• Tools: Python, Django, Anaconda, Visual Studio
  Designed and implemented a centralized network control system with an interactive interface to monitor and manage network operations remotely. Integrated graphical reporting to visualize key metrics and performance data, enhancing network visibility and troubleshooting efficiency. Demonstrated the ability to integrate various components for real-time monitoring, contributing to a better understanding of network behaviour and remote accessibility.

Real-Time Intrusion Detection Using Machine Learning

• Tools & Technologies: Python, Google Colab, Scikit-learn, Keras (LSTM), Kaggle (KDD'99 dataset)
  Developed a machine learning-based Intrusion Detection System (IDS) to identify cyberattacks and unauthorized access in real-time. Implemented and evaluated four models — Random Forest, SVM, Logistic Regression, and LSTM — using extensive preprocessing, feature engineering, and class imbalance handling. Demonstrated strong skills in model comparison, real-time applicability, and cybersecurity-focused ML pipeline development.