Henry Shearman
The Hill,NSW
Summary
Azure certified data engineer and public service professional excited to explore career aspirations in data science and data engineering. Demonstrated ethical and secure data handling with the ability to implement relational and dimensional modelling to design data warehouses, applying statistical inference and data visualisation techniques to provide data-driven insights for business intelligence purposes.
Experienced in a variety of data operations ranging from basic data management to sophisticated machine learning techniques. Committed to APS service, leveraging demonstrated compliance towards APS values with certifications and experience in data governance to provide professional data services across an organisation.
Overview
24
24
years of professional experience
1
1
Certification
Work History
Data Analyst
Australian Research Council
05.2023 - Current
Mathematics Teacher
Department of Education and Communities
, New South Wales
03.2016 - 05.2023
Casual Academic
University of Newcastle
02.2012 - 07.2014
Previous Roles
Various Employers
01.2001 - 02.2012
Education
Master of Data Science -
University of Newcastle
Newcastle, NSW11-2024
Graduate Certificate of Teaching - P-12
LaTrobe University
Wodonga, VIC07-2016
Bachelor of Science - Mathematics, Chemistry
University of Newcastle
Newcastle, NSW12-2012
Skills
- Microsoft certified in data engineering on Azure
- DAMA certified in data management and data governance practices
- Implement data wrangling using SAS, R, Python and PySpark
- Utilise Data Analysis Expressions (DAX) in MS Excel and PowerBI to apply transformative techniques for data integration and visualisation
- Masterful use of pivot tables, implementing complex aggregations to summarise data
- Interrogate APIs and utilise ETL processes to enrich data present in a data warehouse
- Develop sophisticated SQL queries to extract and transform data from data warehouses to satisfy stakeholder data requests
- Develop cloud storage solutions using Databricks lakehouse architectures
- Utilise Apache Spark to create optimised data pipelines via distributed processing
- Apply predictive modelling using machine learning libraries in R, Python and PySpark via Databricks to solve challenging business questions
- Apply unsupervised learning methods using machine learning libraries in R, Python and PySpark via Databricks to discover associations in data
- Apply Natural Language Processing techniques in Python to clean, prepare and mine text data to provide insights for analysis
- Utilise feature engineering techniques such as Principal Component Analysis (PCA) to preprocess data for predictive models
- Demonstrated professional and ethical values consistent with public service standards
- Ability to securely handle sensitive data and prevent data breaches
- Ability to communicate data insights and processes to a range of stakeholders of differing data literacies
Certification
- 2025 DP-203 Azure Data Engineer Associate, Microsoft
- 2024 Associate CDMP Accreditation, DAMA
- 2021 Proficient Teacher Accreditation, NESA
Accomplishments
- 2024 Outstanding Master of Data Science recipient, University of Newcastle
- 2013 AMSI scholarship recipient, University of Newcastle
- 2011 Summer research scholarship recipient, University of Newcastle
Timeline
Data Analyst
Australian Research Council
05.2023 - Current
Mathematics Teacher
Department of Education and Communities
03.2016 - 05.2023
Casual Academic
University of Newcastle
02.2012 - 07.2014
Previous Roles
Various Employers
01.2001 - 02.2012
Master of Data Science -
University of Newcastle
Graduate Certificate of Teaching - P-12
LaTrobe University
Bachelor of Science - Mathematics, Chemistry
University of Newcastle
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