Published inTowards Data Science10 Technologies I Explored as an Applied Data Scientist in 2021ML for ad technology and diving into deep learningDec 13, 20212Dec 13, 20212
Published inTowards Data ScienceApproaches for Building Real-Time ML SystemsResponding to Prediction Requests in MillisecondsSep 7, 2021Sep 7, 2021
Published inTowards Data ScienceTechnologies for Applied Data ScienceTools for building real-time ML applicationsJun 14, 2021Jun 14, 2021
Published inTowards Data Science8 New Tools I Learned as a Data Scientist in 2020Making the move from Docker to Live DeploymentsDec 28, 20201Dec 28, 20201
Published inTowards Data ScienceData Science in a Serverless WorldBuilding Data Products with Managed ServicesNov 9, 20202Nov 9, 20202
Published inTowards Data ScienceNoSQL for Real-Time Feature Engineering and ML ModelsBuilding User Profiles with Streaming DataSep 7, 2020Sep 7, 2020
Published inTowards Data ScienceDemocratizing PySpark for Mobile Game PublishingZynga Analytics at Spark Summit 2020Sep 3, 2020Sep 3, 2020
Published inTowards Data ScienceWhen to use Java as a Data ScientistWhile Python and R provide rich ecosystems for data scientists to handle a wide range of problems, there are situations in which other…Aug 15, 20202Aug 15, 20202
Published inTowards Data ScienceSecuring ML Services on the WebHTTPS and Access ControlApr 6, 2020Apr 6, 2020
Published inTowards Data ScienceDevOps for Data Science with GCPDeploying Production-Grade Containers for Model ServingFeb 17, 2020Feb 17, 2020
