Danunja Reddy Kota

About

Aspiring Machine Learning Engineer with experience in Python, Java, and AI/ML model development. Skilled in data collection, cleaning, preprocessing, and building solutions for scalable software systems and backend development.

Experience

• Service Now Administrator
  Smart Bridge
  May 2026 – Jul 2026
• Data Intern
  Placemantra
  Apr 2025 – Jun 2025

Education

• B-Tech
  Lakireddy Bali Reddy College of Engineering
  2023 – 2027
• Intermediate
  Sri Chaitanya Junior College
  2021 – 2023

Skills

• Computer Vision
• Data Preprocessing
• Python
• Java
• Classification
• Feature Engineering
• Matplotlib
• NumPy
• Pandas
• scikit-learn
• OpenCV
• TensorFlow
• Debugging
• CNN (Convolutional Neural Network)
• Supervised Learning
• Unsupervised Learning
• Keras
• Cloud security
• Data Structures and Algorithms
• Regression
• IAM
• Transfer Learning
• Oop

Projects

• Boston Housing Price Prediction
  Regression Neural Networks, TensorFlow

  Predicted housing prices using regression neural networks with TensorFlow, providing insights into real estate market trends and enhancing model predictive accuracy.

• Dog Emotion Detection
  TensorFlow, Keras

  Implemented a deep learning model using TensorFlow and Keras to detect dog emotions, improving understanding of animal behavior and model accuracy.

• Chatbot for College Information
  Python, NumPy, Pandas, Scikit-learn

  Created a chatbot for retrieving college information using Python, NumPy, Pandas, and Scikit-learn, demonstrating practical application of AI technologies and data preprocessing techniques.

Courses & certifications

• AWS Certified Cloud Practitioner · 2026
• Machine Learning Operations Engineer Associate · Microsoft · 2026
• The Joy of Computing Using Python · NPTEL · 2025
• Oracle Generative AI Professional · 2025

⚽ Extracurricular activities

• LeetCode and GeeksforGeeks Enthusiast

  Solved 150+ problems, enhancing problem-solving skills.

• Hackathon Participant

  Developed Recruit Prep, an AI-assisted interview preparation platform during a hackathon. Contributed to designing the application, integrating AI-powered features, implementing core functionalities, and presenting the final solution to judges.