Amrit Pandey - Portfolio

About Me

I'm Amrit Pandey, a Master's student in Artificial Intelligence at the State University of New York at Buffalo, with a strong academic background in AI and Machine Learning from Thakur College of Engineering and Technology. My expertise includes Python, TensorFlow, PyTorch, Computer Vision, and Natural Language Processing. Through hands-on projects, I've developed solutions like predictive models, automated cheque processing systems, and scalable weather forecasting applications.

Professionally, I've contributed as a Technical Lead at Alternative Clinic, enhancing patient experiences with technology, and as an AI Intern at VLine Infotech, where I automated data extraction processes. I'm excited to bring my skills to a Summer 2025 internship, where I can apply my knowledge to solve real-world challenges and grow alongside industry professionals.

Experience

Technical Lead

Alternative Clinic, Mumbai

Spearheaded the development of an online clinic portal, significantly enhancing patient experience by facilitating easy appointment scheduling, which resulted in a 43% increase in patient volume and an 18% reduction in reception calls. Additionally, streamlined data analysis for medical professionals using a PowerBI dashboard, reducing patient data review time by 30%.

Artificial Intelligence Intern

VLine Infotech Pvt Ltd, Delhi

Designed a custom OCR-driven machine learning model to automate text extraction from bank statements, improving extraction accuracy by 15%. Led a large-scale document parsing project, preprocessing and annotating over 40,000 bank statements, achieving a 20% reduction in processing time while enhancing text recognition efficiency.

Featured Projects

Automated Cheque Processing with ML

This system automates cheque verification using computer vision, OCR, and machine learning. It extracts key details, detects fraud, verifies authenticity, provides a manual review interface, and integrates with banking systems for efficient processing.

PythonOpenCVOCRMachine Learning

GitHub

Automated Attendance System

This Python and OpenCV-based system automates attendance tracking in education using facial recognition. It detects faces, matches them to a database, supports real-time processing, manages student records, generates reports, and integrates with school management systems.

PythonOpenCVFace RecognitionDatabase

GitHub

Game of Thrones Character Recognition

Developed a facial recognition system using a Convolutional Neural Network (CNN) with 92% accuracy on a dataset of 5,000 images. Implemented with PyTorch, the model achieved an F1-score of 0.91 and demonstrated AI’s potential in content indexing, character tracking, and enhancing viewer engagement.

Artificial IntelligenceComputer VisionCNNDeep LearningPython

GitHub

Numbers Classification

This project developed a CNN-based machine learning model in TensorFlow for accurate handwritten digit classification. It involved data preprocessing, model design, training, evaluation, and data augmentation to enhance generalization, achieving high recognition accuracy.

PythonTensorFlowComputer Vision

GitHub

Intelligent Bank Statement Text Extraction System

Developed an OCR-based machine learning model for text extraction from bank statements, improving accuracy by 15%. Collaborated on preprocessing and annotating 40,000+ bank statements, reducing document parsing time by 20% and enhancing recognition accuracy.

OCRMachine LearningPythonComputer Vision

GitHub

Predictive Modelling for Income Classification

Developed a machine learning model to predict income classification based on various demographic factors.

PythonScikit-learnData AnalysisRandom Forest

GitHub

Toxic Comments Classification

Built a machine learning model to classify toxic comments in online discussions using NLP techniques.

PythonNLPBERTSentiment Analysis

GitHub

Chatbot

Created an AI-powered chatbot using natural language processing to provide customer support and answer queries.

PythonNLPMachine LearningDialogFlow

GitHub

Weather Forecast using Flask

Created a web application using Flask to provide weather forecasts based on location input.

PythonFlaskAPI IntegrationWeb Development

GitHub

House Price Prediction with Integrated Chatbot

Developed a house price prediction model with an integrated chatbot interface for user-friendly interactions.

PythonMachine LearningNLPWeb Development

GitHub

Air Quality Analysis and Prediction

Developed a system to analyze air quality data and predict future air quality indices using time series analysis.

PythonPandasScikit-learnTime Series

GitHub

Neural Network Training and Comparison Framework

Created a framework to train and compare different neural network architectures for various tasks.

PythonPyTorchKerasDeep Learning

GitHub

MNIST Classification and Regression

A deep learning project that leverages the MNIST dataset to perform both classification of handwritten digits and regression on handwriting features.

PythonTensorFlowKerasMachine LearningMNIST

GitHub

Education

State University of New York at Buffalo

Buffalo, New York

Masters in Artificial Intelligence

Aug 2024 – May 2026 (Anticipated)

University of Mumbai

Mumbai, India

Bachelor of Technology, Artificial Intelligence and Machine Learning

2020-2024

CGPA: 8.8/10

Skills

Technical Skills

PythonRJavaScriptHTMLCSSMySQLMongoDBOpenCVNLTKPandasPyTorchNumPyTensorFlowScikit-learnMatplotlib

Specialized Techniques

Computer Vision (CV)Natural Language Processing (NLP)Generative Adversarial Networks (GANs)Convolutional Neural Networks (CNNs)Recurrent Neural Networks (RNNs)Graph Neural Networks (GNN)

Soft Skills

Problem-solvingCritical thinkingTeamworkCommunicationAdaptabilityTime managementLeadershipCreativity

Certifications

Foundations: Data, Data, Everywhere

Google

Comprehensive introduction to data analytics. Covers data collection, analysis, and interpretation techniques.

AI on Microsoft Azure

Microsoft

Hands-on experience with Azure AI services. Focuses on machine learning model deployment and management.

J.P. Morgan - Software Engineering Job Simulation

J.P. Morgan

Real-world software engineering tasks simulation. Emphasizes version control, code review, and agile methodologies.

Machine Learning for All

University of London

Broad overview of machine learning concepts. Covers supervised and unsupervised learning algorithms.

Machine Learning A-Z: AI, Python & R + ChatGPT

Ligency

Comprehensive machine learning course. Includes practical implementation in Python and R, with ChatGPT integration.

Python Data Structures

University of Michigan

In-depth study of Python data structures. Covers lists, dictionaries, tuples, and their efficient use in programming.

Using Python to access web data

University of Michigan

Web scraping and API interaction with Python. Focuses on data extraction and processing from online sources.

The complete python BootCamp from zero to hero in python

Pierian Training

Comprehensive Python programming course. Covers basics to advanced topics, including OOP and file handling.

Capstone: Retrieving, processing, and Visualizing Data with Python

University of Michigan

Applied data science project using Python. Emphasizes end-to-end data pipeline creation and visualization.

Prompt engineering for chatgpt

Vanderbilt University

Techniques for effective ChatGPT prompt creation. Covers best practices for AI-assisted content generation.

AI Applications in marketing and Finance

University of Pennsylvania

Exploration of AI use cases in business. Focuses on predictive analytics and decision-making in marketing and finance.

AI, business and the future of work

Lund University

Analysis of AI's impact on business landscapes. Discusses future workforce trends and adaptation strategies.

AI, empathy and Ethics

University of California, Santa Cruz

Ethical considerations in AI development. Explores the intersection of technology, empathy, and moral decision-making.

Get in Touch

Feel free to reach out through any of these channels

Contact Information

Direct contact methods

amritsga123@gmail.com

+1 6823672658

Social Profiles

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LinkedIn Profile GitHub Profile