Hi, I'm Siddh Patel
A passionate Computer Science student specializing in AI, Machine Learning, and Data Science. I enjoy building intelligent solutions, solving real-world problems, and continuously exploring new technologies.
A passionate Computer Science student specializing in AI, Machine Learning, and Data Science. I enjoy building intelligent solutions, solving real-world problems, and continuously exploring new technologies.
I'm a 4th-year B.Tech Computer Science student passionate about understanding how systems work and building real-world solutions through code.
I started with web development and gradually transitioned into AI, Machine Learning, and Data Science. I enjoy coding, problem solving, and applying logic with data.
Currently focused on ML, with growing interest in deep learning and AI models.
Started with web development, then transitioned into Machine Learning to build data-driven solutions.
Aiming to work on deep learning, AI models, and real-world problem solving using data.
ITM (SLS) Baroda University
Vidhyut Board Vidhyalaya · Science Stream
Vidhyut Board Vidhyalaya
I enjoy coding, solving problems, and building intelligent solutions using data.
Responsive layouts, Flex/Grid, animations, pixel-perfect clones.
OOP, multithreading, collections, clean code principles.
Schema design, normalization, complex queries, MySQL.
Version control, branching, collaborative workflows.
Arrays, trees, graphs, recursion, problem-solving mindset.
Automation, scripting, backend logic, and data processing.
Data manipulation, cleaning datasets, and performing analysis.
Numerical computing, arrays, vectorized operations, and math functions.
Machine learning models, preprocessing, and predictive analytics.
Image processing, object detection, OCR, and real-time video analytics.
Custom object detection models, training, inference, and optimization.
Building and training deep learning models for AI applications.
Developing interactive AI and machine learning web applications.
Interactive notebooks for data analysis, visualization, and ML experiments.
HackerRank · March 2025
Scaler · January 2025
Coursera · Stanford University · 2026
IBM · Coursera · 2025
ML-powered web app using Logistic Regression, Linear Regression, and Streamlit for startup success prediction (73.4% accuracy) and revenue forecasting (R² = 0.875).
Real-time traffic monitoring system using YOLOv8n, Computer Vision, and Streamlit for seatbelt detection, number plate recognition, and vehicle classification.
Full-stack airline booking web app with flight search, seat selection, booking management, and secure transaction handling using PHP and MySQL.
I'm open to freelance opportunities, collaborations, or just a tech chat. Drop a message and I'll get back within 24h.