Grover Susanibar

About Grover Susanibar

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 AssociateSpecialties- 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 VisionTechnology 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

Experience

1. Data Scientist Ii

   Microsoft

   Feb 2023 — Present · Redmond, WA, US

Education

• University of Michigan-Dearborn

  Master of Science, Data Science

• USP - Universidade de São Paulo

  Engenharia Mecatrônica

  2016 — 2016

• Pontificia Universidad Católica del Perú

  Bachelor's degree, Ingeniería Mecatrónica

  2012 — 2017

Skills

• English
• Python
• Artificial Intelligence
• Statistical Analysis
• Ciencia De Datos
• Data Analytics
• Big Data
• C++
• Predictive Modeling
• Artificial Neural Networks
• Mathematical Modeling
• Autocad
• Matlab
• Iot
• Autodesk Inventor
• Solidworks
• Programming
• Machine Learning
• Regression Models
• Internet De Las Cosas
• Microsoft Excel