Ajit Upadhyaya
Data Architect/Scientist - Golden Five
Toronto, Canada
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An enthusiast of data related technology with 15+ years of experience in Database Administration, Solutioning, Development, ETL using SSIS and C#, Business Intelligence technologies including SSRS and PowerBI. Additionally adept on Data Science including Machine Learning (Supervised, Unsupervised, Ensemble Techniques, Forecasting & Recommendation System) and Artificial Intelligence (Deep Learning, Neural Network & Computer Vision).
• Proven ability in IT/ Banking/Finance/ Health domain
• Successful in improving operations and reducing costs, by designing and implementing enhanced technologies with core capability of mitigating regulatory risk and delivery architecture governance enhancements
• Profound experience in providing consultation for risk assessment in Microsoft SQL Server and data related technology, troubleshooting issues using various tools and technologies
• Deft in supporting and managing IT & Data Management and providing design, engineering, project / program management services & client solutions
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Area of Expertise
Topics
Model performance
In this session we will go over various performance matrix of a model and what could cause model to perform poorly.
Data Engineering & Machine Learning using Azure DataBricks & Azure ML (Studio)
This beginners session aims to cover how we can use Azure DataBricks to perform Data Engineering and Machine Learning. Learn to use Azure Machine Learning (Studio) as no code solution to run data Engineering & Machine Learning use cases.
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