Apratim Mishra

Apratim Mishra

PhD student in Information Sciences

Portfolio

Portfolio

Machine Learning • NLP • Software Development

Professional Work

Energy Load Prediction System

Developed a machine learning system to forecast energy consumption patterns, achieving 92% accuracy for 24-hour predictions using ARIMA, XGBoost, and LSTM models.

Python XGBoost LightGBM LSTM
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NLP Pipeline for Quotation Extraction

Engineered an end-to-end NLP pipeline for extracting quotes, identifying speakers, and classifying entities from unstructured text documents.

spaCy Stanford CoreNLP Python Transformers
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Protein Language Models for Biological Insights

Leveraging protein language models and graph neural networks to predict protein properties and interactions for drug discovery applications.

PyTorch PyTorch Geometric Transformers DeepSpeed
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Personal Projects

ScenicBayMapper

An interactive mapping application for discovering and navigating to scenic locations around the Bay Area with personalized recommendations.

Google Maps API React Node.js MongoDB
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Expo v1

An open-source framework for building universal native apps with React that runs seamlessly on Android, iOS, and the web.

React Native JavaScript Android iOS
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Audio App

A modern Next.js application for audio processing and playback with a sleek UI and advanced features.

Next.js React Web Audio API Tailwind CSS
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H&M Fashion Recommendation System

A machine learning recommendation system for H&M products, using collaborative filtering and content-based approaches.

Python Scikit-learn PyTorch Collaborative Filtering
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Yelp Restaurant Recommendations with GNNs

A Graph Neural Network (GNN) based recommendation system for restaurants using the Yelp dataset.

PyTorch PyTorch Geometric Graph Neural Networks Recommendation Systems
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Notion RAG

A Retrieval-Augmented Generation (RAG) system that leverages Notion data for AI-powered question answering and knowledge retrieval.

Python Flask Qdrant OpenAI
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