Sentimental Analysis Dashboard for Reviews
Developed a dashboard that analyzes customer reviews using sentiment analysis techniques to classify feedback as positive, negative, or neutral with graphical insights and real-time data visualization.
Motivated engineering student seeking opportunities to apply technical knowledge and problem-solving skills in a practical environment while contributing to organizational growth.
B.Tech, Computer Science and Engineering (Data Science)
2022 – 2026
7.5 CGPA
PUC / 12th
2020 – 2022
60%
SSLC / 10th
2020
78%
Developed a dashboard that analyzes customer reviews using sentiment analysis techniques to classify feedback as positive, negative, or neutral with graphical insights and real-time data visualization.
Designed and developed a responsive e-commerce platform with product listing, shopping cart, and online payment integration features.
Developed a web application for football tournament matches, rankings, and player information, including ticket booking, match scheduling, and fan feedback features.
Developed a camera-based system to capture live gestures, using machine learning to identify hand and finger positions and translate them into text for communication.