Hristo Hristov
MCSE Data Management and Analytics, Project Engineer at Atlas Copco Airpower
Antwerpen, Belgium
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Hristo has an international background in business and analytics. For 7 years he worked at a website engineering consultancy, then he transitioned to a career as an IT business analyst. His current job at Atlas Copco Airpower in Flanders, Belgium has given him the chance to deliver great value with advanced solutions in the analytics, Azure cloud and O365 domains. Hristo’s real passion is predictive analytics and statistical analysis. He holds a Master’s Degree in Data Science and a number of Microsoft certifications covering SQL, PowerBi and related technologies. Pythonista who deeply cares about code comments.
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Categorizing Customers with SQL Server Machine Learning Services
We will use Python to develop and deploy a K-Means clustering model in SQL Server Machine Learning Services to categorize customer data. The session aims at showcasing the built-in machine learning capabilities of the SQL platform.
Categorical Data Encoding for Regression Models
The session explores the usage and comparison of 5 different text encoding techniques: one-hot, target, hashing, binary and entity embeddings. The methods are needed in cases when text data must be represented numerically before used in a predictive model or neural network. A dataset from a support system is used where the aim is predicting case duration.
Hristo Hristov
MCSE Data Management and Analytics, Project Engineer at Atlas Copco Airpower
Antwerpen, Belgium
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