Jupyter notebooks for analysis of US federal debt, tax revenues, GDP, 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, stock market. Using APIs from FRED and Yahoo-Finance.

Oasis Infobyte Internship Projects one month of Internship as a data science intern at Oasis Infobyte. The Data Science Internship Offers Practical Work Experience And An Introduction To Creating Machine Learning Models And Improving Data Driven Technologies knowledge. This Internship Will Involve Challenging Opportunities, Real World Projects.

A collection of mini data science projects including iris classification, sales prediction, and unemployment analysis. Demonstrates full ML workflow from preprocessing to model building.

The research estimates the effect on the dynamics of applications for unemployment benefits in response to the lifting of regional restrictive measures in the first wave of the COVID-19 pandemic in Russia

This study will be an attempt to analyze what impact minimum wage has upon youth unemployment in Pakistan, a country having the world's ninth largest labor force, with 4 million young people reaching working age each year, and how it compares to the required living wage.

Analyze and predict unemployment trends using machine learning. This project explores regional and urban-rural disparities, visualizes key labor statistics, and deploys a Random Forest model for forecasting unemployment rates.

Oasis Infobyte - Data Science Internship tasks (March- April 2024 batch)

The primary goal of this case study is to analyze data, identify patterns, and propose informed, data-driven recommendations that governments and stakeholders can implement to effectively address and reduce unemployment rates, particularly focusing on the African context

This project analyzes the Phillips curve in India from 1991 to 2024, examining the short- and long-run trade-offs between inflation and unemployment. It provides insights into how these variables interact, helping inform policies for sustainable economic growth and stability.

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

Analyzing Berlin's July 2025 unemployment trends using official BA data. Compares gender, nationality & age disparities through Python visualizations. Created after my own job loss to understand the local job market. Includes processed datasets & insights for fellow job seekers.

These are the tasks which I have performed during my Data Science Internship by Oasis Infobyte