I'm Gopi Prashanth Raju, an enthusiastic and driven software engineering student with a passion for developing innovative solutions and working on challenging projects.

Chaitanya Bharathi Institute of Technology
Hyderabad, Telangana
Bachelor of Engineering (GPA: 9.18 / 10)
Nov 2021 - May 2025

Relevant Coursework:

• Data Structures and Algorithms (Java) 📊
• Probability & Statistics in Computer Science (Python) 📈
• Machine Learning 🤖
• Data Analysis 📉
• SQL 🗃️
• HTML, CSS, Bootstrap,JavaScript 💻
• MERN Stack 🛠️
• NumPy, Pandas 🐼

Technologies: MongoDB, Express.js, React, Node.js

• Designed and developed a full-stack web application using the MERN stack.
• Implemented user authentication and authorization using JWT (JSON Web Tokens) for secure access to features.
• Utilized MongoDB as the database to store user information, chat logs, and other application data.
• Added live tracking and PNR check status features to provide information about previous trips.
• Developed a recommendation system based on previous trip data to provide personalized travel suggestions.

Technologies: Python, Tkinter, Face Recognition, CSV

• Developed a user-friendly Tkinter application for automating class attendance tracking using a face recognition module.
• Implemented an interface for students and teachers to log in, check attendance, and update attendance records.
• Designed functionality for faculty to view details of students and attendance records.
• Utilized multiple angle photos for better accuracy in face recognition.
• Stored attendance data in a CSV file and displayed it upon student login through Tkinter GUI.

Technologies: Python, Selenium, CNN, NumPy, Pandas

• Utilized Selenium to scrape data from a clothing website, extracting prices and ratings of various garments.
• Preprocessed the dataset by dividing it by brand and price, handling null values, and filling missing ratings.
• Developed a Convolutional Neural Network (CNN) model to analyze images and predict prices and ratings of clothing items.
• Implemented normalization of prices and ratings using StandardScaler to improve model performance.

📚 Languages:

• R, Python, Java, JavaScript, C/C++

🛠️ Frameworks/Libraries:

• React.js, Express.js, Flask, Django, TensorFlow, PyTorch, jQuery, Bootstrap, Node.js, EJS, NumPy, Pandas, Matplotlib

💾 Databases/Tools:

• MySQL, MongoDB, Git

🧠 Concepts:

• Operating System, Computer Networks, Data Structures, Algorithms, Artificial Intelligence, Machine Learning, Deep Learning, Data Analysis

• Python Course Certificate (Google, Michigan University): Data Collection using Python. 🐍
• Using Python to Interact with the Operating System (Google): Python programming, operating system interaction. 💻
• Java Programming: Solving Problems with Software (Duke University): Java programming, problem-solving. ☕
• Udemy Full Stack Course Completion: Full-stack development. 🖥️
• Hackathons: Participated in COSC HacktoberFest 2023, Flipr WebD Hackathon, and TechGig ML Hackathon. 🏆
• Google Cloud Computing Foundations Certification: Cloud computing. ☁️
• HackerRank (5-star): Achieved 5-star rating for Python coding on HackerRank. ⭐
• CodeChef (3-star): Achieved 3-star rating for competitive coding on Codechef. ⭐⭐⭐
• LeetCode (1881-Rating, 700 Problems Solved): Achieved 1881 rating for competitive coding on LeetCode and solved over 700 problems. 🏅

📞 Phone: 6300545278
📧 Email: [email protected]