• Natural language processing• Python developer

• Title: "Rotation-driven Conditional Random Fields as a post-processing stage of deep learning to improve semantic segmentation on discontinuities in biomedical images"• Data scientist task and activities• A software was developed. Up to 10,000 lines of code• The improvement of the proposed method goes from 4.540% to 19.903% mIoU and from 2.601% to 4.718% depending on the used probability map (artificial or CNN)• Tools: Python, Patagón Supercomputer, Git-Hub, Fiji, OpenCV, Docker, Slurm, Tensorflow, Shell, C++, Amazon EC2, S3, Cloud9, Travis CI

• Produce valuable information for all areas of the company through ETL process and analysis of results• Automate multiple kind of tasks using Python• Elaboration of reports for clients showing insights and opportunities• Maintenance and development of KPI's• Tools: Python, SQL, Tableau Server, Excel

• Advances in survey paper on data analytics using Machine Learning methods in the field of Smart Cities. The clients were researchers• Tools: TexMaker, Microsoft Visio

• Title: "Verbal aggression detection model in audio files with Machine Learning algorithms"• Feature selection process with Random Forest algorithm. The dimensionality of 3774 initial features is reduced to 16• Algorithms used for final classification: Bag of Words + Support Vector Machine (SVM), Neural network, Naive Bayes, Hidden Markov Model, Linear Regression, Logistic Regression. Maximum accuracy reached: 90.97% using SVM• Tools: R, openSMILE, Shell, Audacity

• Maintenance of KPIs for the quality and continuous improvement team. Improvement of the resources and time to obtain them• Detection of sources of customer dissatisfaction. Improvements in the overall website shopping experience and focused in its check-in step• Implementation of a digital form platform linked to JIRA for the collection of requests made by coworkers for continuous improvement. The budget for this project was saved thanks to this solution• Tools: Excel, VBA, Usabilla, JIRA, SQL

• Development of KPIs for the management of incentives of Service Managers, who were responsible for the B2B satisfaction of large Business Clients• Tools: Excel, VBA

• Development of technical, general and administrative bases for the construction of prototypes and competition• Implementation of utilities on the official website for the management of files of the competing teams• Tools: JavaScript