Complete Python course, Chennai, Tamil Nadu, India, 11/09/2020
Computer Networking course, Chennai, Tamil Nadu, India, 10/10/2020
CompTIA Security+ (Online), Chennai, Tamil Nadu, India, 11/22/2020
Activities
Attended a national online webinar on Mathematical modelling of Convolutional Neural Network, Chennai, 09/11/2020
Awards
Participated in National Conference in Intelligent Techniques in Computing and Communication (virtual Conference) organized by Rajalakshmi Engineering College, Chennai, 05/14/2021 Won ‘Runner Up’ prize in national level coding competition held in Sri Venkateswara College of Engineering, Chennai, 09/26/2019
Publications
Accident Life Saving Kit, 01/2021 - 03/2021, Three, The main objective of this project is to reduce the pre-treatment time after an accident, this can be achieved by collecting important details within a short span of time. The life- saving kit which is an Automated system which detects accident and immediately sends the necessary details to the emergency service. It includes confidential details such as a password along with an ID which can be used to access the patient’s confidential details in a fully functional website. Technology/languages used: IOT, HTML, CSS, JavaScript and PHP.
Extracurricular Activities
Served as Event Coordinator during the national level seminar on Machine Learning, Data Science and Deep Learning, Rajalakshmi Engineering college, Chennai, 03/28/2019
Projects
Malware Incident Response, 01/2023 - 04/2023, one, To protect against potential security threats, it's crucial to implement a combination of proactive measures and responsive actions. Application whitelisting is a preventive measure that ensures only approved applications can be installed, reducing the risk of malicious downloads. Additionally, utilizing advanced antivirus scans and endpoint protection with behavioral analysis capabilities enhances threat detection. Implementing multi-factor authentication (MFA) adds an extra layer of security to prevent unauthorized access in various scenarios. Machine Learning DDoS Detection for consumer Internet of Things devices, 01/2023 - 04/2023, one, We are discussing about the overall architecture of an IoT attack and anomaly detection system. Data collection and dataset comparison are the first two stages of the framework, which is then followed by data preprocessing to enhance data visualization. The data is then split into training and testing sets. The learning algorithm that will be used to construct the anomaly detection model is established using the training set.
Languages
English
Full Professional
Timeline
Trainee
Shiash Info Solutions private limited
02.2021 - 07.2021
Intern
Kaashiv Infotech
12.2019 - 01.2020
Master of Engineering - Information Systems Security
Concordia University
Bachelor of Engineering - Computer Science and Engineering