https://marcvernet31.github.io/ Recent content on Marc Vernet Hugo -- gohugo.io en-us <a href="https://creativecommons.org/licenses/by-nc/4.0/" target="_blank" rel="noopener">CC BY-NC 4.0</a> Tue, 19 Jan 2021 11:09:06 +0100 https://marcvernet31.github.io/posts/2021/01/bicing-visualizations/ Sun, 24 Jan 2021 16:43:53 +0100 https://marcvernet31.github.io/posts/2021/01/bicing-visualizations/ The aim of this project was to develop two sets of insightful visualizations for the Bicing Data, Barcelona bike sharing service, to compare performance characteristics of differne stations and kinds of bikes (mechanical and electric). Both groups of visualizations were developed with Python&rsquo;s library Altair. The first visualization consisted of a static infographic, comparing the usage of two docking stations during January 2020. The infographic was designed to show the performance differences of two stations with opposite characteristics. https://marcvernet31.github.io/about/ Tue, 19 Jan 2021 11:09:06 +0100 https://marcvernet31.github.io/about/ Hey, I&rsquo;m Marc! I&rsquo;m currently studying Data Science and Engineering at UPC in Barcelona, where I have been learning extensively about Machine Learning, Artificial Intelligence and all the math behind. Passionate about software and computing, I&rsquo;m always looking for opportunities to apply my knowledge to solve real world problems. In this blog I will be posting relevant projects and things that I find interesting. I think of it as a way of keeping track of projects and things I have done. https://marcvernet31.github.io/posts/2021/01/kernel-methods-on-cannabis-microsatellite-data/ Thu, 14 Jan 2021 17:48:24 +0100 https://marcvernet31.github.io/posts/2021/01/kernel-methods-on-cannabis-microsatellite-data/ This project was developed with the goal to study in which way kernel functions could better prediction results, and discover ways to fine-tune custom functions in order to to maximize the performance. This work was done in the context of AA2 UPC class final project, oriented to kernel methods. Most of the work was done with Python&rsquo;s sklearn and R for preprocessing. The final report with conclusions and interactive notebooks with used code can be found at the github repository. https://marcvernet31.github.io/posts/2021/01/predictive-analytics-with-big-data-tecnologies/ Thu, 07 Jan 2021 17:40:52 +0100 https://marcvernet31.github.io/posts/2021/01/predictive-analytics-with-big-data-tecnologies/ The objective of this project was the creation of a distributed ETL data flow for an aviation maintenance business case. The original dataset is a set of maintenance and flight data from a real airline (AIMS and AMOS extracted data), and the goal was cleaning the data and extracting the necessary KPI&rsquo;s in order to train a model to predict whether maintenance was required for a specific airplane. All code was done having distribution in mind, with Python and Spark API, pyspark. https://marcvernet31.github.io/posts/2020/07/distributed-systems/ Wed, 22 Jul 2020 12:59:03 +0100 https://marcvernet31.github.io/posts/2020/07/distributed-systems/ This projects where developed for the PSD-GCED class as a way to learn about distributed computing environments. The first project was oriented on learning to work in HPC (High Performance Computing) distributed environments. We where given access to the MareNostrum supercomputer with the aim to create and execute scripts to run the NAS Parallel Benchmarks with different configurations. The scripts and final report can we found here. The second project objective was to learn to work with cloud providers, taking advantage of its distributed capabilities. https://marcvernet31.github.io/posts/2019/07/telegram-bicing-bot/ Wed, 03 Jul 2019 10:47:08 +0100 https://marcvernet31.github.io/posts/2019/07/telegram-bicing-bot/ TheRealBicingBot, is a Telegram bot capable of retrieving real time information of the Bicing service. Bicing is the Barcelona bike sharing service. It is concieved as a way to help maintenance workers keep of a good bike distribucion among the different city areas. The application is used via direct chat with the bot. The network of stations is modeled as a graph, that is created on demand based on user input specifications. https://marcvernet31.github.io/posts/2019/01/polygon-calculator/ Fri, 04 Jan 2019 11:56:42 +0100 https://marcvernet31.github.io/posts/2019/01/polygon-calculator/ Polygon Calculator is a C++ program that provides an intuitive and easy way of doing different calculus related to polygon geometry from the computer terminal. The user can input polygons as a set of points, and calculate metrics such as area or perimeter. Multiple polygons can be inputed, so it&rsquo;s possible to generete intersections and bounding boxes. All results can be saved in a .txt file and loaded again. The program also supports plotting inputed polygons and results in a .