Parul Gupta
New Delhi
Summary
Computer Science Engineering student with strong skills in Java, Python, and machine learning. Passionate about solving real-world problems through technology and eager to apply academic knowledge in practical projects.
Overview
1
1
year of professional experience
Work History
Intern
Defence Research and Development Organisation
06.2025 - 08.2025
During my internship, I worked under mentorship on a research project focused on adversarial attacks in machine learning. I studied model vulnerabilities, conducted experiments to evaluate robustness, and performed literature review and analysis. This work resulted in the successful writing of a research paper and strengthened my understanding of machine learning security and research practices.
Intern
Indira Gandhi Delhi Technical University For Women
06.2024 - 06.2024
Developed and compared machine learning models, including Linear Regression, SVR, and Decision Trees, to predict stock prices using historical data. Performed data preprocessing, feature analysis, and evaluated model accuracy with metrics like MAE, RMSE, and R².
Education
Btech - CSE - AI
Indira Gandhi Delhi Technical University For Women (IGDTUW)
Delhi, India01.2027
JEE Mains
Delhi, India01.2023
12th Standard - undefined
BalBharati Public School Rohini Sector 14
Delhi, India01.2023
10th Standard - undefined
Bal Bharati Public School Rohini Sector 14
New Delhi, India01.2021
Skills
- Java: Proficient in Java, with a solid understanding of object-oriented programming and software development principles
- Python: Proficient in Python, with experience in data manipulation, basic machine learning, and deep learning techniques
- Machine Learning & Deep Learning: Experienced in machine learning and deep learning, with a research paper focused on stock market prediction using predictive modeling techniques
- SQL: Familiar with SQL basics, including database management, queries, and data manipulation
- Software Engineering: Familiar with basic software engineering principles through the development of a desktop application for a bank management system
Timeline
Intern
Defence Research and Development Organisation
06.2025 - 08.2025
Intern
Indira Gandhi Delhi Technical University For Women
06.2024 - 06.2024
JEE Mains
12th Standard - undefined
BalBharati Public School Rohini Sector 14
10th Standard - undefined
Bal Bharati Public School Rohini Sector 14
Btech - CSE - AI
Indira Gandhi Delhi Technical University For Women (IGDTUW)
Projects
Stock Market Prediction (ML):
Worked on a group project comparing Linear Regression, SVR, and Random Forest for stock market prediction. Evaluated model performance and trend forecasting, resulting in a research paper.
Deep Learning Projects:
Developed deep learning models using neural networks for tasks such as image classification and prediction. Implemented models using Python and deep learning frameworks, focusing on performance evaluation and optimization.