Computer Science and Engineering student
Computer Science and Engineering student with hands-on experience in digital marketing, social media management, graphic design, and WordPress development. Skilled in Python, Java, HTML/CSS, and various digital tools, with a strong eagerness to learn and adapt. Developed web applications for review analysis and phishing website detection, leveraging text-based, heuristic, and rule-based analysis techniques. Managed social media campaigns and created engaging visual content to enhance brand visibility and audience engagement.
Auhentic
Jan 2024 — Apr 2026· 2 yrs 3 mos
Parcel Glide
Oct 2024 — Mar 2025· 5 mos
Handled social media management, creating visual content with Adobe Photoshop, and supporting Facebook marketing activities to strengthen audience engagement and brand visibility.
Under Taskeater
Oct 2022 — Feb 2023· 4 mos
2022 – Present
Bachelor of Science · Computer Science and Engineering
A web-based application, able to detect fake reviews on any e-commerce platform
Advanced Review Analyzer or 'ARA' is a Flask-based web application designed to analyze customer reviews and identify potentially fake or suspicious reviews using text-based and heuristic analysis. The system processes review content to evaluate sentiment, linguistic patterns, ratings, and other relevant features, providing users with an interpretable analysis of each review. The application also includes dataset analysis and visualizations such as word clouds to help identify common patterns and trends within review data.
A rule-based web security tool that analyzes URLs for common phishing indicators and generates a risk score to identify potentially malicious websites.
Phishing Website Detection System is a web-based security tool developed to identify potentially malicious and phishing URLs through rule-based analysis. The system evaluates URL characteristics such as suspicious keywords, unusual domain structures, IP-based addresses, URL shorteners, insecure connections, and other phishing indicators. It generates a risk score and classifies URLs into different risk levels, providing users with a simple and accessible way to assess potentially unsafe websites.
2022
Google Digital Garage
2023
Great Learning
2023
Great Learning
2024
Great Learning
2024
Great Learning