Summary
Markian Jaworsky is a data analyst with 9 years of hands-on experience building forecasting, BI and data warehouse solutions across energy and utilities sectors. He combines a long technical pedigree dating back to a Computer Science degree (RMIT, 1998) with recent advanced training (Master of Data Analytics, Deakin 2020) and ongoing PhD work in big data for personalised healthcare. Skilled in Python, R, SQL Server, RedShift, MongoDB and Tableau/PowerBI, he has led migrations off Excel into GIT-backed forecasting pipelines and supported large-scale ETL, Cognos/Datastage and EAI integrations. His background spans practical ML work—SVM, K-means and deep learning for satellite imagery prospecting—alongside operational automation like daily DW health checks and reporting. Comfortable working in small cross-functional teams, he delivers measurable business impact such as company-wide forecasting rollouts and churn/pricing analytics. Based in Melbourne, he blends deep legacy systems experience with modern cloud data engineering practices, often surfacing insight from messy operational data.
9 years of coding experience
1 year of employment as a software developer
Master of Data Analytics, 70% Average, Master of Data Analytics, 70% Average at Deakin University
St. Bernard's College, Melbourne
Doctor of Philosophy Information Technology, Big Data Analytics For Personalised Healthcare, Doctor of Philosophy Information Technology, Big Data Analytics For Personalised Healthcare at University of Southern Queensland
Bachelor of Applied Science (BASc), Computer Science, Bachelor of Applied Science (BASc), Computer Science at RMIT University
English, Ukrainian