My passion is to apply Machine learning and AI knowledge in practical cases both in industry as well as in society. I strongly believe that Machine Learning applications can lead to the digital transformation and optimization of processes of many companies. But at the same time, I also believe that we can leverage its advantages to implement social projects and improve the quality of life of those people who need it most.
I have more than 4 years of experience in several job roles such as Data Scientist, Machine Learning Engineer and Cloud Solution Architect that have allowed me to implement end-to-end Machine Learning projects and deploy these solutions using cloud services from Microsoft Azure, Amazon AWS and Google GCP.
Certifications:
🌟 Microsoft Certified: Azure Data Scientist Associate
🌟 Microsoft Certified: Azure AI Engineer Associate
Specialties:
– End-to-end Machine Learning solutions
– Data Science Processes
– Cloud Solution Architectures (Microsoft Azure, Amazon AWS, Google Cloud)
– Advanced Analytics Solutions
– Advanced Data Visualizations with Power BI
– ETL processes
– Real Time Solutions with IoT and Computer Vision
Technology Skills:
– C, C++, Python, Scala, R, SQL, JAVA, VBA.
– Cloud Services: Microsoft Azure, Amazon AWS, Google GCP
– AWS Sagemaker, Lambda, Glue, CloudFormation, DynamoDB, Athena, Glue, RDS Aurora MySQL
– AWS Redshift, Kinesis, EC2, EMR, IAM
– Azure SQL Databases, Data Warehouse, Data Lake, Cosmos DB, Azure Analysis Services, Data Factory
– Azure Machine Learning, Cognitive Services, Azure Bot Framework, Azure IoT, Stream Analytics
– Azure Service Bus, Storage, App Service, Application Insights, DevOps, Databricks, Spark ML
– Power BI
– Linux, Jenkins, Github, Docker, Kubernetes, Visual Studio Code, REST APIs
– Agile Methodology