Featured Projects
Movie Recommender System
An intelligent recommendation system that suggests movies based on user preferences using collaborative filtering and content-based approaches.
AI Medical Assist
An AI-powered medical assistance system that helps in diagnosis and treatment recommendations using advanced machine learning algorithms.
Pizza Sales Analysis
Comprehensive analysis of pizza sales data to identify trends, customer preferences, and business insights using advanced analytics.
Bike Buyers Analysis
Data analysis project examining bike purchasing patterns and customer demographics to identify key market segments.
Stable Diffusion Text-to-Image Generator
This is an end-to-end Streamlit application for generating images from text prompts using the Stable Diffusion model. Built with diffusers from Hugging Face, the app allows users to input custom prompts, adjust generation parameters, and download the generated images.
Danny's Ma 8-Week SQL Challenge
Danny’s MA 8-Week SQL Challenge is a real-world SQL learning project covering data querying, joins, aggregation, and CTEs. I have completed two out of eight challenges using MySQL, improving my database skills and problem-solving abilities in data analysis.
WeatherETL-Airflow
This project is an end-to-end data pipeline for extracting, transforming, and loading (ETL) weather data using Apache Airflow, PostgreSQL, and Docker. The goal of this project is to automate the process of fetching weather data from an API, transforming it, and storing it in a PostgreSQL database.
ByteNotes
ByteNotes is a full-stack note-taking application built using React for the frontend and Django for the backend. It allows users to create, categorize, and manage notes under different categories such as Personal, Business, etc.
Cold Email Generator
The Cold Email Generator is an end-to-end solution designed to streamline and automate the process of crafting cold emails. This project leverages the power of advanced Large Language Models (LLMs) and Generative AI to generate personalized emails efficiently.