Master of Computer Applications Student
Computer Science undergraduate with a 9.56 CGPA and hands-on experience building Machine Learning, NLP, and Full Stack Development solutions using Python, React.js, Firebase, BERT, and TF-IDF.
EY Global Delivery Services
Feb 2024 – Apr 2024 · Remote
Completed a 6-week intensive Full Stack Web Development internship under AICTE’s Next Gen Employability Program. Developed a voting web application using Django with full-stack implementation. Gained experience in Django backend development, database management, web application deployment, secure authentication, data validation, and user interface design.
GENZ Educate Wing
Feb 2025 – Apr 2025 · Remote
Developed a sentiment analysis system using BERT for positive, negative, and neutral text classification. Built a fake news detection model using TF-IDF with Logistic Regression and Random Forest. Implemented data preprocessing, feature engineering, model training, performance evaluation, and comparative model analysis.
Edunet Foundation – AICTE | IBM SkillsBuild
2 mos
Completed a 6-week AI/ML internship with mentor-led sessions and project-based learning. Built an Employee Salary Prediction model using Python (scikit-learn, pandas, NumPy). Integrated the trained model into a Flask web app for real-time salary predictions. Gained hands-on experience in data preprocessing, model selection, and deployment.
Genz Educatewing.
3 mos
Developed an NLP-based Sentiment Analysis model using BERT (HuggingFace Transformers) Built a Fake News Detection system using TF-IDF, Logistic Regression, and Random Forest Created end-to-end pipelines: data preprocessing, training, evaluation, and optimization Focused on improving accuracy through feature engineering and comparative model analysis
EY
3 mos
Completed a 6-week internship under AICTE’s Next Gen Employability Program Developed a full-stack voting web application using Django and PostgreSQL Implemented backend APIs, user authentication, data validation, and UI Gained hands-on experience with web deployment, database design, and secure coding
Master of Computer Applications (MCA), Computer Applications
2025–2027 (Pursuing)
Bachelor of Science, Computer Science and Information Technology (B.Sc. CS-IT)
2022–2025
CGPA: 9.56
Class XII
2018
Percentage: 51.5%
Class X
2016
Percentage: 75.5%
Master of Computer Applications - MCA
Sep 2025 - 2027
Currently pursuing MCA with focus on Computer Science, Software Development, and Data Engineering.
Bsc(CS-IT), Computer Science
Aug 2022 - Jun 2025
End-to-end smart farming solution using Python, TensorFlow, React.js, and Firebase. Provides plant disease detection through image classification, crop, fruit, and flower recommendations based on soil and weather data, a multilingual chatbot for farming guidance, and an integrated e-commerce store for farmers.
Sentiment classification model using BERT and Hugging Face Transformers to classify text into positive, negative, and neutral categories, with NLP preprocessing, model evaluation, and deep learning application.
Machine learning-based fake news classifier using TF-IDF vectorization, Logistic Regression, and Random Forest on labeled news datasets, with comparative performance analysis.
Responsive e-commerce application using React.js and Firebase, supporting user authentication, real-time inventory updates, and secure transaction workflows.
Interactive quiz game using React.js and Firebase with dynamic questions from an external API, real-time score tracking, and secure user login functionality.