Bandaru NithinKumar

nithinkumarbandaru2020@gmail.com+91 9121766101

Summary

AI & Data Science undergraduate with hands-on experience in machine learning and deep learning using Python, PyTorch, and Scikit-learn. Experienced in developing end-to-end ML pipelines, image classification models, and predictive solutions using CNNs, Vision Transformers, and ensemble learning techniques. Strong foundation in data preprocessing, feature engineering, model evaluation, and problem-solving.

Education

Amrita Vishwa Vidyapeetham, B.Tech, Artificial Intelligence and Data Science
2023 - Present

Banglore, India, Grade: 7.99

Sri Chaitanya Junior College, Intermediate, MPC
2021 - 2023

Vijayawada, India, Grade: 96.5

Vignan High School, High School
2020 - 2021

Somandepalli, India, Grade: 98.5

Skills

Python, C++, Java, JavaScript, SQL, Machine Learning, Deep Learning, Artificial Intelligence, PyTorch, Scikit-learn, Pandas, NumPy, OpenCV, CNN, Vision Transformers, Data Preprocessing, Feature Engineering, Model Evaluation, Data Analysis, REST APIs, React.js, Node.js, Express.js, MongoDB, MySQL, PostgreSQL, Docker, AWS, Git, GitHub, Data Structures & Algorithms

Projects

Multi-Class Cancer Classification using Deep Learning github.com/nithin1024/MultiClass-Cancer-Classification-using-deep-learning-models

Developed a multi-class cancer classification model using a hybrid CNN and Vision Transformer architecture with PyTorch. Implemented image preprocessing, normalization, data augmentation, model training, and evaluation, with confusion-matrix analysis to assess classification performance.

Bank Loan Credit Risk Assessment using Machine Learning github.com/nithin1024/Machine-learning-for-bank-loan-risk-assessment_Enhancing-predictive-acuuracy

Built an end-to-end machine learning pipeline for bank loan credit risk prediction using Python and Scikit-learn. Performed data preprocessing, feature engineering, normalization, and class-imbalance handling with SMOTETomek, followed by ensemble modeling and evaluation using Accuracy, Precision, Recall, F1-Score, and ROC-AUC, achieving 81% accuracy.

AlgoArena – Online Code Judge Platform github.com/nithin1024/AlgoArena-Code-Judge-Platform

Developed a full-stack online code judge platform using Node.js, Express.js, React.js, Docker, and MongoDB. Designed REST APIs for authentication, problem management, and submission evaluation, while using Docker containers to provide isolated and scalable code execution across multiple programming languages.

Certifications

  • AWS Academy Graduate - Cloud Foundations, AWS Academy, November 2025 credly.com/badges/85ef35c7-6718-47b2-b184-4b0ffcad44e3/public_url
  • IBM Data Science Professional Certificate, IBM, May 2025 credly.com/users/nithinkumar-bandaru
  • Artificial Intelligence Certification, Skillvertex, April 2024

Languages

  • English, Fluent
  • Hindi, Conversational
  • Telugu, Native