CHANDNI M N

Computer Science Engineering student with strong foundations in Python, Machine Learning, and Backend Development. Experienced in building data-driven applications and working with real-world datasets. Passionate about writing clean, efficient code and eager to contribute to scalable backend systems. Seeking an internship opportunity to apply analytical thinking, engineering fundamentals, and continuous learning mindset in an enterprise environment. Talented professional ready to bring hardworking mentality to Trainee position. Driven to learn position inside and out to maximize contributions and support business and customer objectives. Outstanding organizational skills and knowledge of Python.

• Participated in 5 Hackathons, contributing innovative ideas and collaborative problem-solving.
• Symposium Winner – Python & SQL coding challenges.
• Member, IEEE Computer Society.
• Volunteer, NSS activities – actively involved in social and community initiatives.

Cambridge English: Preliminary (PET) – CEFR Level B1

Vidyapathaa – One-Stop Personalized Career & Education Advisor
• Developed a centralized platform to guide students in making informed career and education decisions using structured and reliable data.
• Addressed challenges such as lack of personalized guidance, unclear career pathways, and scattered information on colleges, exams, cutoffs, and fees.
• Designed recommendation logic based on student interests and aptitude, including localized college insights.

Legal Awareness AI Chatbot
• Built an AI-driven chatbot to improve public awareness of legal rights and procedures.
• Implemented frontend using React and backend APIs using Flask and Python.

Loan Prediction System
• Developed a machine learning model to automate loan eligibility prediction.
• Performed data cleaning, feature engineering, and model evaluation using Scikit-learn.