Melbourne, Victoria, Australia
With a solid foundation in environmental sciences and extensive experience in data science, I am a seasoned professional specialising in leveraging technology to drive sustainable solutions. As a Evaluation and Analytics ManagerEvaluation and Analytics Manager at the National Organisation for Fuel Cell and Hydrogen Technology, I spearhead projects at the intersection of data analysis, strategy planning, and stakeholder engagement. From leading teams in optimising operational processes to developing cutting-edge machine learning models, I thrive in dynamic environments where innovation meets impact. My expertise spans the entire data science lifecycle, including data acquisition, feature engineering, machine learning model development, and production deployment. Whether it's automating survey processes, implementing advanced data visualisation techniques, or orchestrating deep learning initiatives, I am committed to delivering actionable insights that drive organisational success. With a track record of securing multi-million-dollar contracts and spearheading transformative projects, I am passionate about harnessing the power of data to tackle complex challenges and shape a more sustainable future. Driven by an unwavering commitment to perfection, I continuously seek opportunities to expand my skills and stay at the forefront of emerging technologies. Through my multidisciplinary education and diverse professional background, I bring a unique perspective to every project, fostering innovation and driving tangible results. Let's connect to explore how we can collaborate to turn data into actionable insights and make a positive impact on the world.
● Architected automated ETL pipelines using Python and SQL to process large-scale solar and battery system datasets, delivering reliable forecasting analytics that eliminated manual processing bottlenecks and enabled predictive insights for international photovoltaics and battery clients. ● Transformed and deployed an end-to-end GCP analytics infrastructure integrating Snowflake, dbt, Joomla! and Airflow to power energy market intelligence products, minimise manual intervention, improve maintainability, and provide a scalable foundation for AI-driven predictive maintenance in the distributed energy sector. ● Developed advanced time-series analytics workflows by migrating complex Tableau forecasting logic into reusable dbt macros and SQL models, enabling automated capacity estimation and performance prediction for distributed energy storage systems while improving model transparency and scalability. ● Advised and supported clients in the effective use of analytics and data products, bridging technical and business needs to enable clients' business success while integrating learnings into core business logic to continuously improve product quality, performance, and customer value.
● Planned and executed complex data analytics for financial reporting and project evaluations using Python and SQL. Extracted, transformed, and analysed data from 500+ grantees, developing ETL pipelines and statistical models (NumPy, SciPy), reducing redundant tasks by 20 hours/month and delivering actionable insights for strategic decision-making. ● Leveraged LimeSurvey and Python to implement data validation rules, ensuring rigorous data quality. Improved accuracy of datasets by 25%, enhancing reliability of reports and forecasts. ● Analysed and interpreted complex datasets to produce insightful presentations and data-driven monthly reports. Provided clear recommendations to stakeholders that influenced key decisions on project performance. ● Secured an AUD 2.8M contract by developing a comprehensive audit and evaluation approach, driving business growth and creating new revenue streams.
● Developed a Power BI dashboard using advanced data models and DAX for reporting and visualisation, improving data accessibility and increasing stakeholder engagement by 40%. ● Spearheaded the development of an intranet platform, facilitating better information sharing and collaboration across departments, leading to a 20% increase in communication efficiency. ● Balanced multiple roles, managing a team of 6 and handling 40 projects with a budget of AUD 400K, achieving a 50% reduction in operational costs by streamlining processes and promoting efficient use of resources.
● Identified inefficiencies in financial analysis and implemented a Python-driven solution for data cleaning, analysis, and visualisation, reducing manual effort by 10 hours per month and improving decision-making. ● Automated monthly reporting for the German vehicle market using Python (Pandas, Matplotlib, Seaborn), which increased report accuracy and saved 15 hours per month in manual labour. ● Implemented a new data management system and performed data modelling, resulting in a 50% improvement in data accessibility and enhanced cross-functional collaboration through better data organisation.
I contributed expertise to the development of funding directives, ensuring alignment with organisational objectives and regulatory requirements. I performed exhaustive analysis on battery electric mobility trends, enriching insights for Electric Mobility initiatives and strategies. Apart from conducting thorough reviews of funding proposals, I applied expertise to identify viable projects aligned with objectives. I assisted in developing online content and public relations strategies. Additionally, I managed event logistics and played a pivotal role in organising a major electric vehicle conference, fostering engagement between political figures, experts, and academic leaders. My key accomplishments are: • Specialised in data analysis, interpreting usage statistics of battery electric vehicles to inform future research directions and funding decisions. • Coordinated a 400-attendee electric vehicle conference, uniting politicians, industry executives, and scholars.