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Research Associate
Rio Tinto Centre for Mine Automation•  March 2015 - January 2022
- Extensively liaised with stakeholders and subject matter experts to identify data sources, understand quality of data and clean data. - Queried data from multiple databases comprising of hundreds of tables to obtain mine, train, port, and ship data (Oracle,PostgreSQL, MySQL). - Conducted several sprints of exploratory data analysis of mine, train, port and ship data to analyse system trends and material flows. - Built and maintained data dashboards using PowerBI, Matplotlib, Seaborn and Bokeh. - Built machine learning models for predicting ship contents based on material sent to ports from mines using LR , Ridge , Lasso , GBM and Random Forest models . - Created time-series models for forecasting future tonnage and material composition of iron ore produced using ARIMA and Facebook Prophet models. - Built and deployed several services for data querying and ingestion to optimisation/ML models.
Education
University of Sydney, Sydney
Chemical Engineering, PhD•  March 2012 - April 2016
Masdar University Of Science And Technology
Mechanical Engineering, MSc•  September 2009 - June 2011
University of Nottingham
Mechanical Engineering, BEng•  October 2006 - June 2009
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