Building data, analytics and machine learning solutions on AWS

My main responsibilities are architecting and building scalable data and analytics solutions that will enable the organisation to rapidly and securely leverage insights from data and deploy purpose-built data/BI solutions.Key accountabilities:- Support the definition and implementation of cohealth’s Business Intelligence and Data Governance strategy and roadmap- Identify, analyse, refine and process internal and external data sources for use in ad-hoc reporting and analysis- Development activities across the full end-to-end development cycle for system integrations, data pipelines, data warehouses and business intelligence solutions- Analyse data in conjunction with the appropriate business units to inform business and service delivery decisions and translate into meaningful insights or performance measures- Develop and maintain positive, constructive relationships with key stakeholders- Work within limits of confidentiality and privacy appropriate to communications- Support and uphold cohealth's values to the community

Formal appointment after my professional placement within Swinburne's Business Analytics department.My responsibilities included:- Collaborating with data scientists to build, training and testing machine learning models, productionising and deploying these models on to the cloud;- Sourcing and consolidating data to build reports and visualisations;- Working with our Data Governance team to ensure our data is consistent, accurate and trustworthy;- Orchestrating and automating internal services using cloud technology to reduce turnover time;- Building and maintaining disparate data collections;- Adhering to security guidelines from IT under advice from our Lead Solution Architect when designing cloud solutions;- Collaborating with Swinburne's School of Law on Natural Language Processing projects to provide decision support for county court cases.- Helping organise internal team training events.

Professional placement within Swinburne's Business Analytics department.My responsibilities included:- Designing, updating and maintaining ETL pipelines for our daily loads and projects;- Designing, managing and monitoring our instances to maintain the performance of our data warehouse;- Working on innovative projects to uplift traditional approaches to fully utilise cloud computing technologies. This covers business case, architectural design, proof-of-concept to pitching to the business, prototyping and productionising the projects.

My responsibilities included:- Providing Level 2 Desktop support to a wide range of internal customers, including both Academic and Business sides;- Collaborating with Level 1 and Level 3 Desktop support teams to quickly resolve escalations;- Maintaining weekly performance adherence metrics;- Attending regular meetings and discussions to update and maintain our knowledge base.

Assisted Swinburne's Centre for Social Impact researchers.My responsibility included:- Designing and maintaining different data pipelines;- Designing and managing databases that accommodate multiple reports;- Collaborating with researchers and other stakeholders to design data visualisations and reports using Tableau.