• Email: [email protected]
• LinkedIn: Neeraj Komatishetti

I'm a computer science student who is really into technology and innovation. I've learned a good amount about coding in Java and Python, and I love figuring out tricky problems. I'm always looking to learn new things and come up with fresh ideas. I'm searching for an internship to gain real-world experience and understand how companies work. I'm eager to pick up new skills and grow in my field. I'm confident I can be a valuable asset to any team and will work hard to deliver great results.

• UG: 2025
  • Pursuing Full Time B.Tech in Computer Science Engineering from TKR College of Engineering & Technology at Meerpet, Rangareddy(D), Hyderabad.
• Diploma: 2019 - 2022
  • Completed Diploma in Computer Science from TKR College of Engineering & Technology at Meerpet, Rangareddy(D), Hyderabad, with 8.4 CGPA.
• SSC: 2019
  • Completed Secondary Education from Krishnaveni High School, Balkonda, Nizamabad, with 9.8 GPA.

1. Learn Complete Python in Simple Way, from Udemy

1. Python programming
2. Machine Learning
3. Frontend Web Development
4. Data Structures and Algorithms (DSA)
5. C++, C, Java

Developed a robust and user-friendly calculator application that can perform a wide range of arithmetic operations. The project involved:

• Designing a clean and intuitive user interface.
• Implementing core functionality using JavaScript.
• Ensuring the application is responsive and works well across different devices.

Built a comprehensive online food delivery system leveraging the Django framework. Key features of the system include:

• User Authentication: Secure login and registration system.
• Restaurant Management: Allows restaurants to add, update, and manage their menu items.
• Order Processing: Facilitates order placement, tracking, and management.
• Responsive Design: Optimized for both desktop and mobile users. This project showcased my ability to build full-stack web applications and handle both frontend and backend development effectively.

Developed a machine learning model to predict digits from the MNIST dataset, a large database of handwritten digits. This project involved:

• Data Preprocessing: Normalizing and preparing the dataset for training.
• Model Training: Using TensorFlow to build and train a neural network.
• Evaluation and Optimization: Assessing model performance and fine-tuning hyperparameters to improve accuracy. This project enhanced my understanding of machine learning concepts and practical implementation using Python and TensorFlow.

1. English
2. Hindi
3. Telugu