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Aishwarya Parashar

I am a passionate Computer Science Engineering student honors in Cyber Security. My academic journey has equipped me with proficiency in Python, Java, HTML, CSS, and Machine Learning.

Additionally, I completed an internship in Python with Data Science at Softpro India, where I enhanced my analytical and programming skills. I am familiar with tools like Power BI for data visualization and Kali Linux for penetration testing.

I am actively seeking opportunities to apply my cybersecurity and technical skills to real-world challenges. Let’s connect to explore potential collaborations or job opportunities!

  • Role

    Quantum computing engineer

  • Years of Experience

    0.92 years

  • Professional Portfolio

    View here

Skillsets

  • MySQL
  • Xampp
  • Spring Boot
  • Scikit-learn
  • Python
  • Power BI
  • pandas
  • OpenCV
  • OOPs
  • NumPy
  • Bootstrap
  • Matplotlib
  • JavaScript
  • Java
  • HTML
  • Github
  • Django
  • Cyber security
  • CSS

Professional Summary

0.92Years
  • Jul, 2025 - Sep, 2025 2 months

    Summer Intern

    Softpro India Computer Technologies (P) Ltd.
  • Sep, 2024 - Nov, 2024 2 months

    Intern Trainee

    Softpro India Computer Technologies (P) Ltd.

Work History

0.92Year

Summer Intern

Softpro India Computer Technologies (P) Ltd.
Jul, 2025 - Sep, 2025 2 months
    Built and exposed RESTful APIs while integrating backend services with Spring Boot. Enhanced database performance by tuning SQL queries, cutting response latency by 20%.

Intern Trainee

Softpro India Computer Technologies (P) Ltd.
Sep, 2024 - Nov, 2024 2 months
    Streamlined data visualization workflows in Matplotlib, accelerating analysis 30%. Leveraged Python, SQL, and Pandas to clean and transform datasets for dataset handling, ensuring 95% accuracy. Prototyped predictive ML models that improved analysis reliability 25%.

Major Projects

4Projects

Real Estate Price Prediction

    Engineered a regression model for housing price forecasts using features like location, area, and amenities. Performed preprocessing, feature engineering, and evaluated with R, MAE, and RMSE metrics. Delivered prediction accuracy of 92% on test data.

Object Detection

    Designed a real-time detection pipeline using MobileNet-SSD integrated with OpenCV. Optimized inference speed for low-latency recognition while reaching 95% detection accuracy.

Spring Boot Calculator

    Implemented a Spring Boot-based calculator service exposing endpoints for arithmetic operations. Applied REST principles and Maven for dependency management and modular project setup.

Finance Tracker

    Built a personal finance manager storing transactional data in CSV files. Incorporated Matplotlib to visualize spending trends and generate analytical charts. Added CRUD functionalities and reporting with Pandas for structured insights.

Education

  • B.Tech (Hons.) in Computer Science and Engineering with specialization in Cyber Security

    B.S.A College of Engineering & Technology (2026)

  • Higher Secondary Certificate

    Baldeo Public School (2022)

  • Secondary School Certificate

    Baldeo Public School (2020)