Building a Real-Time Demand Forecasting System
A breakdown of how I built and deployed a real-time demand forecasting pipeline using Kafka, PostgreSQL, Prophet, and Streamlit.
A breakdown of how I built and deployed a real-time demand forecasting pipeline using Kafka, PostgreSQL, Prophet, and Streamlit.
My experience building a model to predict rainfall for a Kaggle competition and the lessons learned.
Deploying a real-time sentiment analysis system using NLP, Streamlit, and Firebase.
A deep dive into predicting customer churn using machine learning. This project covers exploratory data analysis, feature engineering, model selection, and k...
My experience with Minimal Mistakes, Jekyll, and GitHub Pages