Jupyter notebooks for analysis of US federal debt levels, tax revenues, budget deficit, evolution of yields on treasury borrowings, treasury yield curves and inflation expectations, unemployment and participation rates, quantitative easing, industrial production, personal consumption and savings. All analysis is based on data provided by FRED.

E-Hub is an employment platform

An internship project analyzing unemployment rates using Python, including code, data, and a Streamlit web application.

The unemployment rate is the last years is going down despite the rise of AI and all of these advanced technologies.

This program seeks to explore the relationship between the Effective Fed Funds Rate (target variable) and the most common parameters the Fed uses to justify their rate hikes/drop decisions when communicating to public, namely personal consumption expenditures inflation, real gross domestic production growth, and unemployment rate (predictor vari…

Springboard Capstone Project 1

ADS-506 Time Series Final Project: Forecasting Unemployment Rates in California for the year 2023

Data Science Capstone Project that Analyzes the Unemployment Rate of the Philippines With Relation to the Establishment of Senior High School

A set of Google colab notebooks with my work on data analysis

Conducting further analysis on with S&P 500 & The U.S. Job Openings (JOLTS) across all Sectors.

This project is an end-to-end machine learning solution for analyzing the unemployment rate of a particular region. The project provides a user-friendly interface for visualizing the estimated number of employees and the unemployment rate according to different regions of India during Covid-19.

Tableau analyses published from my Tableau public profile

An analysis of Chicago Socioeconomic data

UNEMPLOYMENT ANALYSIS OF INDIA WITH PYTHON

The aim of this project is to create automated report which shows current coronavirus information scraped from Wikipedia and unemployment analysis based on downloaded dataset from OECD website.

Studies of the changes in the U.S. labor market in 2000-2021 using the monthly Current Population Survey.

The purpose of this report is to identify the most appropriate model to forecast future unemployment rate in the US using the historical data. We present an in-depth study of the forecasts for the monthly U.S. unemployment rate using various time series models and comparing them to further our understanding of the strengths and deficiencies of t…