Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 5

Selected Projects
•	Language and gender classification of named entities within business sites location names to support corporate social responsibility (NLP).
•	Developed an end-to-end machine learning solution for the prediction of weather changes in Australia.
•	Multi-label classification of Prose Review using NLP (NLP project)
•	Development of data pipeline from AWS s3 buckets/Azure blob storage to Snowflake WH for reporting.
•	 Applied ML classification techniques in investigating and analyzing current CO2 abatement technologies. 
•	Development of Interactive dashboards in Power BI for business intelligence and reporting to stakeholders.
Data & Systems Scientist/Engineer, Department of Jobs, Precinct & Regions, Melbourne, VIC. (Nov 2021 – to date)
•	Performed data wrangling, profiling and analysis on new datasets ingested from source systems using cloud-native tools.
•	Time series data analysis, modelling and forecasting for business case development and operations capacity scoping.
•	Process data modelling through optimized ML model selection, development, and evaluation to identify optimized parameters for process operations input. 
•	Developing PowerBI dashboards for operational reporting to leadership team and different stakeholders.
•	Built and developed optimized data models to suite business requirements and provided operational support of Data Warehouse and related data analytics systems in development and production environments.
•	Designed and built data pipelines for data structures involving data extraction, transformation, metadata, schemas and workload management.
•	Enhanced and optimize existing data ingestion, transformation, and extraction pipelines built for reporting and analytics on big data and EDW platforms.
•	Report generation and documentation of ML workflow for communication with internal and external stakeholders.

Selected Projects
•	Language and gender classification of named entities within business sites location names to support corporate social responsibility (NLP).
•	Developed an end-to-end machine learning solution for the prediction of weather changes in Australia.
•	Multi-label classification of Prose Review using NLP (NLP project)
•	Development of data pipeline from AWS s3 buckets/Azure blob storage to Snowflake WH for reporting.
•	 Applied ML classification techniques in investigating and analyzing current CO2 abatement technologies. 
•	Development of Interactive dashboards in Power BI for business intelligence and reporting to stakeholders.