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.
Posts by Category
- Machine Learning 6
- Projects 6
- NLP 2
- Data Science 2
- Productivity 2
- Mathematics 1
- blog 1
- Deployment 1
- Frontend Projects 1
- React 1
- Fullstack Projects 1
- Java 1
- AI Projects 1
- Natural Language Processing 1
- Python 1
Machine Learning
Rainfall Prediction: My Weather Forecasting Journey
My experience building a model to predict rainfall for a Kaggle competition and the lessons learned.
Deploying My Real-Time Sentiment Analysis App
Deploying a real-time sentiment analysis system using NLP, Streamlit, and Firebase.
Predicting Customer Churn: A Machine Learning Approach
A deep dive into predicting customer churn using machine learning. This project covers exploratory data analysis, feature engineering, model selection, and k...
Building a Sentiment Analysis System: My First NLP Project
My experience with Natural Language Processing and Sentiment Analysis
Building Linear Regression from Scratch with OLS and Gradient Descent
My experience with Ordinary Least Sqaured, Gradient Descent, and evaluating regression lines
Projects
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.
Rainfall Prediction: My Weather Forecasting Journey
My experience building a model to predict rainfall for a Kaggle competition and the lessons learned.
Deploying My Real-Time Sentiment Analysis App
Deploying a real-time sentiment analysis system using NLP, Streamlit, and Firebase.
Predicting Customer Churn: A Machine Learning Approach
A deep dive into predicting customer churn using machine learning. This project covers exploratory data analysis, feature engineering, model selection, and k...
Building a Sentiment Analysis System: My First NLP Project
My experience with Natural Language Processing and Sentiment Analysis
Building Linear Regression from Scratch with OLS and Gradient Descent
My experience with Ordinary Least Sqaured, Gradient Descent, and evaluating regression lines
NLP
Deploying My Real-Time Sentiment Analysis App
Deploying a real-time sentiment analysis system using NLP, Streamlit, and Firebase.
Building a Sentiment Analysis System: My First NLP Project
My experience with Natural Language Processing and Sentiment Analysis
Data Science
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.
Rainfall Prediction: My Weather Forecasting Journey
My experience building a model to predict rainfall for a Kaggle competition and the lessons learned.
Productivity
Building FairSplit: A Full-Stack Expense Splitting App
How I built and deployed a full-stack expense splitting platform with Java, Spring Boot, React, and Tailwind — featuring authentication, group management, ex...
Building NoteVault: A Local-First Note-Taking App
How I built a simple, offline-first note-taking app using React, Tailwind, and localStorage — with a focus on usability, clarity, and shipping something real.
Mathematics
Building Linear Regression from Scratch with OLS and Gradient Descent
My experience with Ordinary Least Sqaured, Gradient Descent, and evaluating regression lines
blog
Setting up my Minimal Mistakes website
My experience with Minimal Mistakes, Jekyll, and GitHub Pages
Deployment
Deploying My Real-Time Sentiment Analysis App
Deploying a real-time sentiment analysis system using NLP, Streamlit, and Firebase.
Frontend Projects
Building NoteVault: A Local-First Note-Taking App
How I built a simple, offline-first note-taking app using React, Tailwind, and localStorage — with a focus on usability, clarity, and shipping something real.
React
Building NoteVault: A Local-First Note-Taking App
How I built a simple, offline-first note-taking app using React, Tailwind, and localStorage — with a focus on usability, clarity, and shipping something real.
Fullstack Projects
Building FairSplit: A Full-Stack Expense Splitting App
How I built and deployed a full-stack expense splitting platform with Java, Spring Boot, React, and Tailwind — featuring authentication, group management, ex...
Java
Building FairSplit: A Full-Stack Expense Splitting App
How I built and deployed a full-stack expense splitting platform with Java, Spring Boot, React, and Tailwind — featuring authentication, group management, ex...
AI Projects
Building BoardGameGPT: An AI Assistant for Rule Queries
How I built a question-answering system for board game rules using Python, Google Gemini’s API, and Retrieval-Augmented Generation (RAG) in a Kaggle Notebook.
Natural Language Processing
Building BoardGameGPT: An AI Assistant for Rule Queries
How I built a question-answering system for board game rules using Python, Google Gemini’s API, and Retrieval-Augmented Generation (RAG) in a Kaggle Notebook.
Python
Building BoardGameGPT: An AI Assistant for Rule Queries
How I built a question-answering system for board game rules using Python, Google Gemini’s API, and Retrieval-Augmented Generation (RAG) in a Kaggle Notebook.