Luis Biedma

A shift planner developed in Python that takes data from Excel files and makes a schedule of weekly shifts for each worker. This can be used for a data entry center, call center, or a taxi service. It takes workers' hourly availability and adapts to workforce restrictions, like the need for two-day rests for each worker and a skill minimum in workers at each moment.

This started as a freelance job and was extended to make it more adaptable by adding an MIT license to it.

I redeveloped and adapted a program developed in CUDA to integrate functions using a Monte Carlo method called VEGAS—adding test functions and rearranging operations to improve performance on GPUs. I presented the algorithm in a scientific communication in Argentina.

I implemented data scraping functions using the Requests library on supermarket prices in the city of Córdoba, Argentina. The software also analyzes the data in search of the best prices of each type of item and rearranges data to send it via the Google Drive API to the data entry center. This application allows people in our city to get a better grasp of prices for main necessity food items and also suggests recipes with the fruits and vegetables that are in their best season.

The code is available at the GitHub link below.
• https://github.com/lbiedma/preciosclaros-redalimentar

I studied various papers to develop an algorithm to solve the heat diffusion equation in microchips by using cubical elements (the use of trigonal pyramidal elements is the norm) that are based on pixels in the images of microchips. The software allowed people to add elements and check their diffusion properties when they were made of different materials.