Empresa líder en tecnología y venta minorista.

- The company's internal web applications are maintained on a regular basis.- Re-implementation of the company's internal web application for salesprediction with supervised learning. The execution time of the algorithmwas reduced by 35%. A more robust and scalable project was created,allowing for accelerated growth of users without affecting the performanceof the application. The most important activities of the development aredescribed below:- The front-end of the application was developed with Angular 18 and- AngularUI from a base layout in a Figma project.- Development of a REST API using Python, FastAPI, OAuth and GraphQL.- Creation of a relational database (including design, normalisation,diagramming, optimisation, etc.) for the storage of prediction results.- Creation of stored procedures for the efficient retrieval of informationfrom millions of records, used for the generation of valuable reports forusers.- The unit tests were developed using PyTest.- The application was deployed using Microsoft Azure technologies,including Blob and File Storage, Azure Functions, and Virtual Machine.CI/CD tools and GitHub were also employed as the version controlsystem.- The training of new consultants consist of the creation of virtual and face-to-face courses on Python topics. Over 100 new members underwenttraining in person, and all new consultants with Python skills

Sensei de Master en Coding.

- I was fortunate to be part of a team that grew a startup from 300 activecustomers to an average of 150,000 active customers until my departurefrom the company.- Creation of a relational database for the storage of customer credit historyinformation, including design, normalisation, layout, optimisation, and otherpertinent features.- Consumption of the Buró de Crédito API for customer credit history queries.- Led a team of nine developers in the credit history area as the technologyleader.- I was responsible for managing the credit history query project using theagile Scrum methodology.- Creation of monthly account statements for all clients, generated fromstored procedures with optimised queries and Python, in PDF format.- Development of REST APIs using Python and Flask, with rigorous securityand authentication protocols.- The generation of reports in a variety of formats, including XML, JSON andXLSX, was automated using Python, Pandas and AWS Lambda.- Utilisation of PopMobile API for credit card recharges by customers.- I developed an internal tool for the company, which compared newprospects with a blacklist of customers with a history of card misuse. If thesimilarity percentage was high, an alert was displayed. The tool wasdeveloped using AI technologies, including AWS Rekognition, Python,Angular, and AWS S3. After its creation, the number of approved andrejected requests increased significantly.- Google Drive API was used to store card application documents for newcustomers. A TB of information was stored in an optimal and scalable way.