Apoorv Tripathi apoorvtripathi1999

Hi 👋, I'm Apoorv

Project Name	Summary	Objective
Housing Price Prediction	Complete Machine Learning Pipeline	A comprehensive machine learning project that predicts housing prices using multiple ensemble techniques and provides an interactive web dashboard for model comparison and predictions.
Content Recommendation System	Streamlit Based Web App	A Machine Learning-based content recommendation service using weighted collaborative filtering build using Django and Streamlit.
Customer Churn Prediction API	FastAPI	A production-ready machine learning API that predicts customer churn probability using advanced ensemble methods and custom feature engineering. Built with FastAPI, scikit-learn, and MySQL integration for scalable customer retention analytics.
Iris Classification App	ML based Web App	The app visualizes Precision-Recall Curves to evaluate the models' performance and helps users interactively explore how different classifiers perform on the Iris dataset.
Kaggle Notebooks	Practice Notebooks	Employing Machine Learning to solve real world problems
BookAI	LLM based web application	Using google's VertexAI api for LLM in a web application, where a user can upload a pdf file and ask questions based on the PDF file uploaded in a voice based interactive environment.
Doordash Report	Data Visualization	Using PowerBI to display various metrics including sales, inventory, marketing and customer segmentation.