Aryan Dhokare

Computer Science Engineering student with strong interest in Artificial Intelligence, Machine Learning, and backend systems.

Experienced in building predictive models using Scikit-learn and developing real-world systems including payment gateway simulations and AI-based data platforms. Skilled in data preprocessing, feature engineering, and model evaluation.

Seeking an AI/ML internship to apply analytical thinking and technical skills to real-world problems. Pursuing full-time role that presents professional challenges and leverages interpersonal skills, effective time management, and problem-solving expertise.

Mini Payment Gateway Simulator

Tech: Python, Flask, SQLite, JavaScript

• Developed a full-stack payment gateway simulator mimicking real-world UPI transactions
• Built secure backend APIs using Flask and managed data with SQLite
• Implemented asynchronous transaction processing and live status polling
• Simulated real-world scenarios including bank failures and multi-step refund workflows

AI-Powered Ocean Data Integration Platform (Sagar Darpan)

Tech: Python, Scikit-learn, Pandas

• Built ETL pipelines for preprocessing ocean and fisheries datasets
• Applied Decision Tree, KNN, and Naive Bayes models
• Achieved ~85–92% accuracy using supervised learning
• Evaluated models using confusion matrix and performance metrics
• Developed data visualizations for insight representation

Smart City Logistics & Traffic Optimization

Tech: Python

• Designed a data-driven system for traffic and route optimization
• Applied analytical techniques to improve efficiency
• Built backend logic for structured data processing

Fundamentals of Machine Learning and Artificial Intelligence – AWS