Python professional with extensive experience in end-to-end projects (from architecture definition to production deployment).
I have experience in all the stages of a project: infrastructure architecture definition, cloud engineering and architecture, back-end, APIs, scripting, machine&deep learning, data visualization, data pipelines&engineering, data science and machine&deep learning, web scrapping, front-end and mobile
Extensive experience mainly in AWS and Google Cloud
Keywords:
Python, Google Cloud, Software Deployment, Vue.Js, Machine Learning, Deep Learning, Amazon Web Services, Folium, Pandas, Scikit-Learn, XGBoost, LightGBM, CatBoost, Plotly, Dash, R, Ggplot2, Plotnine, Javascript, Ortools, Mathematical and Discrete Optimization, CSS, HTML, Git, Constraint programming, Leaflet, Firebase, Web Scrapping, Apache Airflow, Tableau, Power BI, API, API REST, Heroku, NoSQL, SQL, Cloud Computing, Big Query, Serverless, Google App Angine, Google Cloud Functions, GIS, AWS Chalice, API REST, Api Gateway, SOAP, Aurora, logging, Cloudwatch, beanstalk, SQS, SNS, simple queue service, DynamoDB, AWS RDS, Elastic Search, React Native, AWS Athena