Solar Power Output Forecast

This project demonstrates how AI can empower clean energy solutions by enabling more predictive control of solar assets, ensuring grid stability, and assisting energy planners in adapting to variable renewable sources.

Spotify Song Popularity Prediction

Built a machine learning model to predict whether a song would be popular using Spotify audio features. Engineered custom features like mood score and dance potential and compared Random Forest and XGBoost classifiers. Achieved up to 88% accuracy, with Random Forest performing best.

Credit Card Fraud

In this project, I analyzed a credit card fraud dataset and developed a machine learning model to predict whether a transaction is fraudulent or not. Throughout the process, I experimented with various machine learning algorithms, as well as deep learning techniques, to determine the most effective

Customer Purchase Data

In this project, I focused on analysing the consumer purchase based on certain given features. The dataset contains valuable information about key parameters about Purchases details. The objective of this project is to extract insights from the data to make inform decison-making about purchases made

Healthcare Dashboard

The purpose of this study is to prepare a dashboard that shows different visuals to derive insights from an health dataset. The dataset contains different variables such as blood type, doctor, hospital name and many others that aid make a decision on a healthcare

Studying Unemployment rate In India

This project focuses on analyzing the Unemployment rate in some cities in India over the period from 2019-2020. The dataset contains valuable information about key parameters about Employment details across India in communities like Andhra Pradesh, Delhi and Sikkim.