plolty-express

A real-time fintech underwriting dashboard built with Streamlit, Plotly, and Pandas. Automatically calculates credit risk, portfolio analytics, and loan verdicts using multi-source data parameters (PAN, CIBIL, Account Aggregator streams) with built-in programmatic validation layers.

These are the projects I completed during my Coursera Certification for Applied Data Science Project

Projeto de análise de dados e machine learning.

Created a dashboard using streamlit, plotly, and plotly-express for analyzing Covid-19 data of the United States.

NYC Airbnb 2019 Listing Analysis Project in R. For detailed report see Analysis_report.pdf

unburst plots are hierarchical visualizations that represent relationships in a dataset through nested rings. This project includes two different datasets for demonstration and is scalable for larger data.

I used the New York Bike Counts dataset to formulate a hypothesis about the number of bikes crossing the Brooklyn Bridge. This dataset contains the number of bikes that crossed each bridge during each day. I first used this dataset to formulate a hypothesis and then used linear regression to test if my hypothesis was correct.

Interactive web application to analyize the survival of Endometrial Cancer