The FAQ for the Community Profile Report

SVInsight: A python package for calculating an exploratory social vulnerability index (SVI).

Probabilistic character profile generation using real-world demographic data.

Acquiring the demographic details such as Age and Gender of a person from a Surveillance Camera video using a custom trained CNN model.

Official code for 2021-DASFAA-Neural Demographic Prediction in Social Media with Deep Multi-View Multi-Task Learning

Blood Pressure Estimation using PPG Signal and Demographic Features

Visualization project based on FEC records with a particular focus on candidate donor overlap and mapping donors to zipcode demographics.

Julia functions to download US Census American Community Survey data

Exploratory Data Analysis of 2016 US Election Data and US Demographic Data

Repository containing the material needed in the 2025 EY Open Science AI and Data Challenge: Cooling Urban Heat Islands

This sample demonstrates how to create a .Net Maui Stacked Area Charts for Revenue of US primary and secondary schools, as share of GDP by source of funds

SOEP Hand Grip Strength Dataset Analysis Results

Visualising publicly available data in Singapore

This is a Data Capstone project, Supervised and Unsupervised Learning Algorithms are used to characterize the customer segment of the population and predict customers for Arvato Financial Solutions.

Package for summarizing environmental and residential population information for multiple locations. This detached fork of the package and this repository are not associated with the USEPA.

corona deaths and confirmed cases with world demographic data

My solution for the Spark Cognition Challenge. Questions and Assignment for Data Scientists.

Project for the Methods of Advanced Data Engineering course at FAU

This repository contains my very first code written upon completing the Python essential for Data Science course with IBM

Streamlined toolkit for predicting human phenotypes from UK Biobank using tree-based ensembles and linear models. Load high-dimensional SNP and covariate data, select variants via Random Feature Selection to balance accuracy and runtime, and interpret genetic plus socio-demographic feature contributions with SHAP.