Data freak since I was a kid, I really got into Data Science in the middle of my degree. Since then, I have been specializing in data manipulation, data visualization and database management. With a problem-solving and analytical mindset, I’m open to everything, constantly learning and facing new challenges.
Latest update: 15/12/2020
Email: peinadoperea.alias.david@gmail.com
Phone:
This bot applies to all EasyApply job offers available for any given position and location. You can choose which position and where you want to look for new opportunities.
Android app to track physical activities and performance. This application is the final project of my CS degree. It has been developed with Flutter and its programming language: Dart, and using Firebase Firestore and Firebase Authentication. Everything about these technologies was completely self-taught in the span of 4 months.
Having a simple GUI, this search engine uses Apache Lucene. This system indexes all the questions and answers of the programming language R in StackOverfow.
Consisting of 3 projects, I used KNIME to analyze a series of supervised learning classification algorithms for the resolution, visualization and experimental analysis of classification and basic preprocessing problems. In the second one unsupervised learning techniques(clustering) were be used to analyze a set of data and extract information about it. The third one was a competition on DrivenData(similar to Kaggle) in which Tanzania water pumps would be analyzed, with the aim of predicting which water extraction pumps worked, which ones needed some repairs and which did not work.
Implemented with Java, JSP, HTML, CSS and Google App Engine. This comparator extracts data from several websites via web scraping & API calls, then integrates and prepares the data and dynamically generates a webpage showing the user the different prices for the game in these websites and links them to the desired purchase URL.