Education

• Bachelor of Technology - Computer Science and Engineering
  Lovely Professional University, Phagwara, Punjab
  Aug 2022 - Present, CGPA: 7.80
• Intermediate
  Sri Chaitanya Junior College, Vizag, Andhra Pradesh
  Apr 2020 - Apr 2022, Percentage: 93.4%
• Matriculation
  Sri Chaitanya Techno School, Rajam, Andhra Pradesh
  Apr 2019 - Mar 2020, Percentage: 99%

Professional Skills

• Cloud Computing and Deployment (AWS, GCP, Docker, CI/CD)
• Machine Learning and Data Analysis
• Competitive Programming and Problem-Solving
• Agile Methodologies and Team Collaboration
• UI/UX Design with Responsive Frameworks

Languages

• English
• Hindi
• Telugu

Download CV

Mall Customer Segmentation

• Segmented mall customers based on purchasing behavior to enable targeted marketing strategies.
• Performed data preprocessing, including handling missing values and encoding categorical features.
• Applied K-Nearest Neighbors (KNN) and K-Means clustering to identify distinct customer groups.
• Achieved 95% accuracy in categorizing customers into meaningful segments such as High-Spenders and Frequent Shoppers.

Tech Used: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn

GitHub: View on GitHub

Demo: Live Demo

CGPA Calculator

• Automated CGPA calculation by accepting student marks and credit values for each subject.
• Dynamically computes weighted averages and displays the final CGPA in real-time.
• Integrated data validation and error handling to ensure accurate and reliable calculations.
• Designed a user-friendly interface for easy data input and instant CGPA tracking.

Tech Used: HTML, CSS, JavaScript, Tailwind CSS

GitHub: View on GitHub

Demo: Live Demo

Travel Tourism Website

• Developed a dynamic travel website showcasing popular tourist destinations and travel packages.
• Implemented interactive features for searching destinations and customizing travel preferences.
• Integrated maps, itineraries, and booking functionality for a seamless user experience.
• Enhanced trip planning with customer reviews and personalized recommendations.

Tech Used: HTML, CSS, JavaScript, Tailwind CSS, React

GitHub: View on GitHub

Demo: Live Demo

OCI Data Science Professional

Issued by: Oracle

Date: September 2025

Data Structures and Algorithms

Issued by: Abdul Bari (Udemy)

Supervised Machine Learning

Issued by: Coursera

Date: Jul 2024

Data Science Using Python

Cipher Schools
Jun 2024 - Jul 2024

• Learned data preprocessing, analysis, and visualization techniques using Python.
• Implemented machine learning algorithms, including KNN and Linear Regression, to solve real-world problems.
• Worked with Pandas, NumPy, and Matplotlib for data analysis.
• Enhanced models using data cleaning and feature engineering techniques.
• Adopted Agile methodologies to enhance iterative development and foster effective team collaboration.

Send Message