Pipeline Optimisation: Partnering with development to enhance data analytics pipelines, driving efficiency and effectiveness in data processing.Data Collation and Analysis: working as a part of the operations team to gather and organise noise data ensuring data quality, and preparing detailed reports for stakeholders.Innovative Research: Employ cutting-edge AI techniques, such as CNN to classify noise data, leveraging advanced algorithms to extract meaningful insights. Explore new approaches for analysing directional noise data, presenting findings in compelling ways to inform decision-making.Data Analysis: Utilise various software tools to perform comprehensive data analysis, generating actionable insights and recommendations.Progress Reporting: Provide regular updates on analysis progress to team members and stakeholders, ensuring transparent communication and alignment.

Research areas: Data visualisations & computational design, performance evaluation, risk modellingThe research project was focused on monitoring Australian workplaces using IoT sensors and combining several data sources to create a data mart used for analysis to provide public safety guidelines for limiting COVID-19 transmission in hospitals, factories, commercial offices, and universities.• Extracted, transformed and combined data from several data sources using API• Performed data cleaning & statistical analysis• R&D on novel statistical methods, performance evaluation, and model tuning• Designing & documenting experimental & numerical studies in reports & journal papers• Infection risk modelling & performance evaluation of computational fluid dynamics (CFD) simulations

Neeon is a startup in the financial services industry, interested in identifying growth potential in different Australian industries using publicly available datasets from the Australian Bureau of Statistics (ABS) & the Australian Tax Office (ATO). As part of the ‘Insights’ team I was responsible for extracting data from the database to curate PowerBI dashboards which helped stakeholders in decision making. •Requirement gathering & wireframe design using stakeholder requirements.•Designing KPI’s to monitor growth of different sectors in Australia.•Designing PowerBI data models.•Data cleaning & transformation (PowerQuery).•Curating & maintaining PowerBI reports for stakeholders.•Performed cluster analysis & hypothesis testing to identify industries with growth trends.•Presenting & communicating insights using visualisations & presentations.

Redwood Analytics is a consultation organisation that provides products & services to help clients utilise their data and support decision-making.•Collaborated with other teams to provide data based on described requirements•Writing SQL queries to collect required dataset•Data wrangling & transformation to ensure quality control of the data •Exploratory data analysis on datasets based on generated requirements•Report generation & presenting insightsTools used: MySQL, Python

Dia Capital is an investment bank that provides advisory services for capital raising and Mergers & Acquisitions to emerging companies across sectors.• Assist with drafting business plans, sales pitches, presentations, and reference material.• Working closely with staff across departments to implement growth strategies. Conducting market research and identifying potential clients.• Collating and maintaining client information in the database.