Over the years I have built many things that I am immensely proud of.
This project, part of the Coursera Data Science Coding Challenge, aims to predict loan defaults based on various borrower-specific features. Understanding the patterns and correlations in the data allows lenders to better predict and mitigate potential loan defaults, ensuring a healthier portfolio and risk management.
mlskeleton, the open-source python package, can help you create a professional and organized folder structure for your machine learning projects and streamline your workflow.
Built a project with dbt including modeling, sources, testing, documentation, and deployment
The dashboard is designed to display key insights about user behavior related to booking a ride. It aggregates, cleanses, and combines data from multiple sources to provide a comprehensive analysis. Interactive filters and visualizations are included to help stakeholders gather insights.
Asgardeo Auth Python SDK provides the core methods that are needed to implement OIDC authentication in Python based apps. This SDK can be used to build SDKs for Web Applications from different frameworks such as Flask, Django and various other frameworks that use Python
Predicting weekly dengue cases for Iquitos and San Juan using Machine Learning algorithms.
WanderLusts is an ML Powered Social Media Platform for Travellers. A Google CodeU Summer 2019 Project.
This project aims to predict the risk of customer support tickets escalating, in order to help organizations manage their support more efficiently and improve the customer experience.
The Android app uses Bluetooth-communicable smart insoles and an LSTM-based prediction model to help diabetic patients prevent injuries from turning into ulcers, with a recall rate of 90% and a precision rate of 89%.
