Personal and University Portafolio

I have created an information dashboard on insights in the Data Science job market using Power BI. The dashboard consists of three pages: Jobs, Skills, and Company, which display relevant information about the Data Science job market, such as the average years of experience by position level, the number of job postings by date and level, and the number of job postings and years of experience, among others. 

This dashboard is part of a module in the Power BI Fundamentals course that I took at DataCamp, and is designed to provide a clear and concise view of trends and patterns in the Data Science job market.

This dashboard was created as the final assignment of the Data Analytics course made by myself and Ivars Yamila in 2021. To make this dynamic dashboard in Power BI, we asked ourselves the question of how networks and communications have been evolving in Argentina, in addition to wonder which of the service providers are the ones with the highest coverage and the fewest claims. The data used for this dashboard was provided by different Government Ministries in Argentina. SQL and Power BI were some of the tools used to develop this dashboard.

One of the classes that I saw and which I feel gave me great knowledge to apply in the future was Operations Management II. This time we were presented with a case in a restaurant which was going through a difficult economic situation and where there were also discussions between the Chef and the Operations Manager about which inventory policy to take between theirs suggestions, this in order to be able to get out of the economic situation they were going through. Therefore, the 2 options presented by them were evaluated, as well as necessary changes were suggested that would allow them to optimize the resources in order to increase profitability but without making drastic changes that could compromise the product or service.

This has been one of the most challenging and interesting assignments of which I have had the opportunity to be a part of. In this case, it was suggested that the Special Planning Administrative Region (RAP-E) wanted to establish a public policy to improve the master plan for food supply and security in the region (Cundinamarca, Huila, Meta, Tolima, Boyacá), Locating cross-docking logistics hubs that would serve as meeting points between growers and distributors, this distributors would take the products to the main cities of the region from this cross-docking hubs. In order to achive the goal we used the coordinates of all the producing localities of the region and using the Haversine theorem it was possible to find the exact distances between the points to be able to propose where to locate the Logistics Hubs, thus also complying with the different restrictions given of maximum distance between producing comminites and hubs and the distances between those hubs and the main cities of the region as well as the restrictions of budget. In this opportunity, the tools and knowledge of linear programming were used in addition to google earth pro in order to confirm the data founded as well as those tools previously mentioned.