Sukhdeep Singh

Background

About Sukhdeep Singh

Technology Specialist with experience in executing data-driven solutions to increase efficiency, accuracy, and utility of internal data processing. Experienced in creating data regression models, using predictive data modelling, and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems. PROFESSIONAL PROFILE: Master’s in Data Science from Macquarie University - Feb18 - Dec19 with a GPA 5.5/7 Bachelor’s in Computer Science from Chitkara University, India - Jul13 - Jul17 with a GPA 8.65/10 3+ years of corporate experience as Data Engineer/Business Analyst. Experience in deployment of Information Risk control measures on Azure and Office 365 platform. Experience in Microsoft Azure Data pipeline tools like Azure Data Factory, Azure SQL, Azure Synapse Analytics DW, Azure Functions and Azure DataBricks. Adept in Python, R, SQL, PySpark/SparkSQL, and SPSS. Experience using cloud technology and ML Ops. Experience in Architecting Cloud Data pipelines using Azure and Amazon Web Services. Worked on AWS Athena, AWS Glue, AWS Redshift, Amazon SageMaker, EC2 for large Data analysis. Data Science specialist with a firm background in Computer Science and Engineering. Familiar with various Machine Learning algorithms such as Decision Trees, Logistic Regression, Random Forest and SVM. Passionate to work with multi-source data, identify complex metrics, and turn them into insights. Collaborative approach to develop diverse ideas and perspectives to improve business decisions. Strong experience in using a variety of data modelling/data analysis methods, time series forecasting, data tools, building and implementing models, and creating/running simulations to test business hypothesis. https://github.com/sedhasukhdeep