I am a Computer Science and Engineering student at Chaithanya Bharathi Institute of Technology (CBIT), passionate about software development, open-source contributions, and exploring new technologies. I focus on building real-world applications, contributing to various open-source projects, and continuously learning new programming paradigms to solve complex problems.
- Machine Learning & AI: Supervised & Unsupervised Learning, Deep Learning, Neural Networks (CNNs, RNNs, LSTMs, Transformers), Natural Language Processing (NLP).
- Programming Languages: Python, Java, JavaScript, C++
- Data Science: Exploratory Data Analysis (EDA), Data Preprocessing, Feature Engineering, Model Evaluation
- Web Development: Flask, MERN Stack (MongoDB, Express, React, Node.js), HTML, CSS
- Tools & Libraries: TensorFlow, Scikit-learn, Pandas, NumPy, Matplotlib
- Version Control: Git, GitHub
- Databases: MySQL, MongoDB
- Operating Systems: Linux, Windows
- Description: Built a phishing website classifier using Random Forest, SVM, and XGBoost. Achieved 96% accuracy in detecting phishing sites based on URL features.
- Technologies: Python, Flask, Scikit-learn, Pandas, NumPy
- Link: GitHub Repository
- Description: Developed a collaborative filtering system for book recommendations using a Kaggle dataset.
- Technologies: Python, Scikit-learn, Pandas, Flask
- Link: GitHub Repository
- Description: Finalist in the Code for Good Hackathon, developed a MERN stack platform for donations with a real-time notification system and automated donation workflows.
- Technologies: MERN Stack (MongoDB, Express, React, Node.js)
- Stanford Machine Learning Specialization (DeepLearning.AI)
- Deep Learning Specialization (DeepLearning.AI)
- Postman API Fundamentals Student Expert
B.Tech in Computer Science
Chaithanya Bharathi Institute of Technology (CBIT) | 2022-2026
CGPA: 9.33
Relevant Courses:
- Python Programming Language
- AI/ML
- Exploratory Data Analysis
- Object-Oriented Programming (OOP)
- Mathematics
- 1st Place, PyStar Coding Competition: Demonstrated advanced problem-solving skills in Python.
- Finalist at Code for Good Hackathon for building a donation platform.
- Completed Stanford ML Specialization and Deep Learning Specialization.
- Scribbie-Notes: Contributed under GSSoC and Hacktoberfest by adding text formatting and resolving merge conflicts.
View Pull Request
Feel free to reach out if you're interested in collaborating or discussing technology topics!