Driven by a passion for enhancing accessibility, I leveraged my expertise in Python and SQL at Spectra Assistive Tech to develop innovative solutions like a hands-free mouse, significantly improving user experience for differently-abled individuals. My tenure at TCS iON honed my analytical skills, enabling me to deliver actionable insights through advanced data analysis and machine learning projects.
Machine Learning Intern JAN 2022- FEB 2022
● Developed the project “Automate Detection of Sentiments from Textual Comments and Feedback” ● Implemented Natural Language Processing(NLP) techniques to analyze and extract emotions from a large dataset of user’s statements.
Zebo.AI Project Intern MAR 2022- APR 2022
● Collaborated with Verzeo, an educational platform to participate in live machine learning projects, gaining hands-on experience in real-world applications of ML. ● Utilized Python Programming and popular ML libraries scikit-learn, TensorFlow to process data, train the models and evaluate their performance
PUBLICATIONS
“E-Government Service Modernization Using Artificial Intelligence”,
“Using a Supervised Deep Learning Machine for Online Social Spam Detection”SS ,
International Journal of Applied Science Engineering and Management (IJASEM)
• Developed the Improved Incremental Fuzzy-kernel-regularized Extreme Learning Machine (I2FELM) algorithm for accurate spam identification.
• Addressed the challenge of imbalanced data distribution on Twitter caused by both spam and non-spam content.
• The contribution highlights advancements in online security and plays a role in creating a safer online environment.
International Journal of Mathematical, Modelling, Simulations AND Applications (IJMMSA) - 4 December, 2021
• Designed user-friendly interfaces, chatbots and recommendation engines to enhance user interactions and service accessibility.
• Addressed challenges related to strengthening e-government technologies and improving citizen-government engagements.
• Aimed to significantly reduce wait times, lower costs, and enhance public satisfaction with existing e-government services