Arpit Padhy

Innovative Machine Learning Intern with hands-on experience in developing algorithms, predictive modeling, and data mining. Strong understanding of machine learning concepts coupled with skills in statistical programming languages like Python and R. Proven ability to leverage big data analysis to drive project success and improve functionality. Committed to staying current on emerging technologies in artificial intelligence, deep learning, and data architecture.

CCNA Enterprise Networking, Security, and Automation, Cisco, 2023.

UpGrad Data Science and Analyst Certification

Food Ordering System (Full Stack), Angular, Node.js, Express, MongoDB, Developed a full-stack food ordering application with separate modules for users and admins., Designed components for food listing, cart management, and order history in Angular., Implemented services to fetch food items and submit orders using HTTP Client to interact with RESTful APIs., Integrated MongoDB for storing and retrieving user orders., Used Angular Material (optional) for responsive UI components., Created components and forms for managing food items (CRUD operations) and viewing user orders., Developed backend API routes using Node.js and Express to handle food item management and order viewing., Implemented MongoDB with Mongoose for managing food item data and user orders., Designed and built RESTful API endpoints for user and admin operations., Used JWT for optional authentication (login/registration).

• Fake News Detection using GNN, 2023, The primary objective of this project is to design and implement a fake news detection system based on Graph Neural Networks, capable of accurately identifying misleading or fabricated news articles. Crime Rate Prediction Using K-means Algorithm, The project explains gathering historical crime data from various sources, such as police reports, crime databases, or government statistics. Preprocess the data to handle missing values, normalize the features, and remove any irrelevant or redundant information.

• My final year major project was selected for the NIT Rourkela Conference 2024 And later it was published.