This is a case study of 25K German job positions from January to December 2024. Using linear regression model, I predicted the top 5 positions for 2025 in Germany's tech job market.

This is an analysis of a dataset of around 25K software developer jobs. The analysis made use of tokenization to find keywords patterns in job positions and determine improvements to be made on: applicant CVs and other application documents that will aid in securing interviews and ultimately, placement.

This is an analysis of a German startup's job applications process. The dataset used has around 25K tech jobs sourced from January to December 2024.

This is an interactive mapped profile info of Presidential Candidates and Presidents where I used Abe Caesar Perez dataset at Kaggle. I did not include name of presidential candidates whose significant information are missing. I also added two columns to the dataset for lng and lat to map the candidates' and presidents' home cities. Blue markers are for Presidents and the red markers are for losing Presidential Candidates. This interactive mapped profile can be used by history students and teachers as an interactive learning aid.

This is a case study of Germany Job Post from March to September 2024. I used Arsh Kuneru public dataset available at Kaggle. I extracted German jobs from around 70,000 Linkedin job posts. This case study has useful insights that employers and job seekers can use in studying Germany's job market patterns and trends.

This is an interactive Philippine tourist map featuring some of the most popular tourist destinations in the country. A tooltip pops up when a mouse is hovered over the blue markers. The data has only been stored in vectors as no dataset was used.

This is an analysis of yearly revenues and net income margins of the top 12 German companies. It also looked into the effect of the pandemic (2020-2023) on the 12 companies and showed clear patterns of fluctuations and resilience. The highlight of this case study also includes a forecast of 2025 revenues for the Top 12 companies using the linear regression model.