Data scientist and data visualization specialist with expertise in creating predictive analytics solutions, data analysis and data visualization applications and related data processing procedures (data integrations, ETL, data cleaning, analysis and reporting) applied across a wide range of industries.
Featured on Simply Statistics blog as one of the top performers in Johns Hopkins University and Coursera Data Science Specialization program.
Winner of Data Visualization Challenge awarded by Government of British Columbia agencies (BC Stats and Innovate BC) at BCTech Summit, Western Canada’s largest annual innovation event.
Qualified supplier of data science and data visualization services for Government of British Columbia.
I deploy my skills to build data products that provide insights into business performance metrics and improve decision-making, revenues, cost control and profit margins.
Expertise in machine learning, project and product management, system integration, business analysis, application and database architecture and development, web development, high-availability solutions, change management.
SKILLS
– Data Analysis, Statistical Inference, Machine Learning, Data Mining.
– Data warehousing, ETL, BI, data quality, capacity planning, performance tuning.
– Data visualization best practices.
– BI and analytics systems development and implementation.
– Strategic planning.
– Agile Product/Project Management, technical project leadership.
– Systems integration, web services (REST, SOAP), data integration.
– Business analysis, business requirements.
– Database architecture, data modelling.
– Software and web development.
– R, Shiny, OpenCPU, D3.js.
– Relational and non-relational databases (MySQL, Redshift, PostgreSQL, Redis).
– SQL, PHP, JavaScript, XML, JSON, CSS, HTML5, Git, UNIX / Linux shell scripting.