Ambika Kuchhal

Final-year Bachelor of Computer Applications (BCA) student with hands-on experience building scalable full-stack applications,
real-time systems, and data-driven software solutions. Strong foundation in data structures, algorithms, frontend&backend development,and REST APIs, with experience across web, mobile, and AI/ML-based projects. Passionate about writing clean, efficient code and
building reliable systems at scale.

Committed to delivering high-quality web solutions that enhance user experience and functionality.

• AI TOOLS AND CHATGPT WORKSHOP – BE10X
• Power BI Workshop Certificate – Office Master
• HR Assessment Completion – Learntube.ai

CABO – Online Multiplayer Card Game
JavaScript, WebSockets, Firebase
• Developed a real-time multiplayer online card game enabling interactive gameplay among multiple users.
• Implementing game logic, turn-based mechanics, and real-time state synchronization using WebSockets.
• Focusing on responsive UI design, real-time communication, and smooth user experience.

ATM Simulation System (Advanced)
Java, JDBC, MySQL
• Designed and implemented an advanced ATM simulation system supporting secure authentication and transaction processing.
• Implemented features such as balance inquiry, cash withdrawal, deposit, transaction history, and daily withdrawal limits.
• Applied object-oriented programming principles, exception handling, and database connectivity using JDBC.

Student Management System
Java / Python, MySQL, HTML, CSS
• Developed a full-stack student management system to handle student records, attendance, and academic details.
• Implemented role-based access for admin and users with complete CRUD operations.
• Designed relational database schemas and ensured efficient data handling and integrity.
Customer Churn Prediction System
Python, Pandas, NumPy, Scikit-learn
• Developed machine learning models to predict customer churn based on historical and behavioral data.
• Performed data preprocessing and trained Logistic Regression, Random Forest, and SVM models.
• Evaluated and compared model performance to improve prediction accuracy.

Resume Screening System (Ongoing)
Python, Natural Language Processing (NLP), Machine Learning
• Developing an automated resume screening system to analyze and rank resumes against job descriptions.
• Implementing text preprocessing, keyword extraction, and similarity scoring using NLP techniques.
• Aiming to improve recruitment efficiency through intelligent candidate shortlisting.