Summary
Work History
Education
Skills
Projects
Relevant Coursework
Languages
Timeline
Generic
Kushagara Khanna

Kushagara Khanna

Varanasi

Summary

I’m a second-year B.Tech Computer Science student at MIT Manipal with practical experience in Python, SQL, and Machine Learning, and hands-on projects in regression, clustering, and neural networks. I enjoy tackling complex technical challenges and thrive in collaborative environments, as shown through my leadership roles in college festivals and sports.

Work History

Product Testing Intern

ATS Share Brokers Pvt. Ltd.
Bangalore
06.2025 - Current
  • Worked on testing and validating DMAT account features, ensuring smooth onboarding and compliance with trading platform requirements.
  • Designed and executed test cases to identify bugs, improve user experience, and maintain data accuracy in trading operations.
  • Documented test results, collaborated with the development team to resolve technical issues, and supported product enhancements for retail trading clients.
  • Gained practical exposure to stock brokerage workflows, online trading platforms, and basic risk checks.

Organizing Committee Member — Vigilance Team

Revel 2025, Cultural Fest, Manipal Institute of Technology
Manipal
02.2025 - 04.2025
  • Selected as part of the organizing committee for Revels, one of India’s largest college cultural fests, hosting thousands of participants across diverse events.
  • Coordinated with multiple event heads and student teams to plan, supervise, and ensure smooth conduct of on-ground activities.
  • Managed event logistics, crowd control, and security checks, maintaining discipline and safety across various venues.
  • Developed strong skills in team coordination, problem-solving, and crisis management under high-pressure, live event conditions.

Education

Bachelor of Technology (B.Tech) - Computer Science And Engineering

Manipal Institute of Technology
Manipal, India
06-2027

Skills

  • Programming Languages: Python, SQL
  • Machine Learning: Regression, Classification, Clustering, Supervised & Unsupervised Learning
  • Deep Learning: Neural Networks (ANNs, CNNs), Model Training & Evaluation, Keras, TensorFlow, PyTorch
  • Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn
  • Tools & Libraries: scikit-learn, OpenCV, PyTorch Lightning (optional if you used it)
  • Software Testing: Test Case Design, Bug Identification, QA Documentation
  • Domain Knowledge: DMAT Accounts, Retail Trading Workflows, Risk Checks (from ATS)
  • Version Control: Git, GitHub
  • Soft Skills: Team Collaboration, Problem Solving, Leadership, Event Coordination

Projects

Boston Housing Price Analysis using Regression
Performed predictive modeling on the Boston Housing dataset using Python and scikit-learn. Applied linear regression algorithms, handled data preprocessing, implemented train-test splits, and evaluated model accuracy using Mean Squared Error (MSE) and R² score. Visualized regression results to interpret housing price trends and model performance.
Tech Stack: Python, Pandas, NumPy, scikit-learn, Matplotlib

MNIST Handwritten Digit Classification using CNN
Developed a Convolutional Neural Network (CNN) to classify handwritten digits using the MNIST dataset. Built and trained a deep CNN model with multiple convolutional and pooling layers, applied Softmax activation for multi-class output, and optimized model accuracy using cross-entropy loss and Adam optimizer. Visualized training and validation accuracy and loss to assess model performance.
Tech Stack: Python, TensorFlow, Keras, NumPy, Matplotlib

CIFAR-10 Image Classification using CNN
Designed and trained a Convolutional Neural Network (CNN) to classify images from the CIFAR-10 dataset. Preprocessed and augmented image data to improve model generalization, implemented convolutional, pooling, and fully connected layers, and optimized performance using advanced training callbacks. Evaluated results with confusion matrix and accuracy metrics.
Tech Stack: Python, PyTorch, OpenCV, NumPy, Matplotlib

Relevant Coursework

IIT Kanpur Certificate Program on PYTHON for Artificial Intelligence, Machine Learning, and Deep Learning Indian Institute of Technology Kanpur — June 2025
Completed an intensive program covering:

  • Core concepts: Regression, classification, clustering, supervised & unsupervised learning
  • Deep Learning fundamentals: Neural Networks, CNNs (MNIST, CIFAR-10, IMDB datasets)
  • Hands-on implementation using Python, scikit-learn, TensorFlow, Keras, PyTorch

Languages

Hindi
First Language
English
Proficient (C2)
C2
French
Intermediate (B1)
B1

Timeline

Product Testing Intern

ATS Share Brokers Pvt. Ltd.
06.2025 - Current

Organizing Committee Member — Vigilance Team

Revel 2025, Cultural Fest, Manipal Institute of Technology
02.2025 - 04.2025

Bachelor of Technology (B.Tech) - Computer Science And Engineering

Manipal Institute of Technology
Kushagara Khanna