The AI Pathfinder program is powered by SMEC AI, which is funded by the Department of Industry, Science and Resources through the AI Adopt program. SMEC AI is an initiative of Boab AI in partnership with Artesian, Cremorne Digital Hub, The University of Melbourne, RMIT University, La Trobe University, Victorian Medical Hub, TNG and Rockwell.SMEC AI focuses on the key priority areas of the National Reconstruction Fund, including medical, clean energy, agriculture and enabling… Show more The AI Pathfinder program is powered by SMEC AI, which is funded by the Department of Industry, Science and Resources through the AI Adopt program. SMEC AI is an initiative of Boab AI in partnership with Artesian, Cremorne Digital Hub, The University of Melbourne, RMIT University, La Trobe University, Victorian Medical Hub, TNG and Rockwell.SMEC AI focuses on the key priority areas of the National Reconstruction Fund, including medical, clean energy, agriculture and enabling capabilities industries, and aims to enhance the adoption of AI by SMEs in Australia.A great opportunity to get advice from leading AI experts, and connect with innovative colleagues to find solutions to real-world problems. Show less

Experienced data scientist and analyst enabling companies to leverage their data to increase efficiency, productivity and impact. Experience in health and medical research (structural biology, drug development, omics) and the automotive industry.ABN: 39 879 967 838

IMNIS industry mentor with the Australian Academy of Technological Sciences and Engineering and managed several teams of RMIT interns reflecting my commitment to nurturing future STEM professionals.

Key Accomplishments:• Machine learning model to categorize warranty claims. Reduced time to process warranty claims by 30%. • Bot to scrape purchase order information from Ford intranet. Identified more than $200 million in potential savings.• Bot to collect feedback from Ford employees with lease vehicles. Identified major quality issue with more than $50 million saved in potential warranty costs. • Dashboard for electrical integration team. Reduced time spent creating… Show more Key Accomplishments:• Machine learning model to categorize warranty claims. Reduced time to process warranty claims by 30%. • Bot to scrape purchase order information from Ford intranet. Identified more than $200 million in potential savings.• Bot to collect feedback from Ford employees with lease vehicles. Identified major quality issue with more than $50 million saved in potential warranty costs. • Dashboard for electrical integration team. Reduced time spent creating weekly reports by more than 50%.• Dashboard used to highlight key metrics and identify potential roadblocks for resolving warranty issues. Contributed to 30% reduction in annual warranty cost for 2020. • Dashboard used globally by engineering teams showing dates for target program gateways and milestones.• Dashboard to monitor time taken for vehicle parts to progress from ‘Design and Release’ phase through to implementation in the assembly plant.• Initiated meetings where people working on data-related projects presented results, obtain feedback and could ask for assistance. • Initiated sessions where experts in ML and AI within Ford gave presentations and answered questions.SkillsetData Analysis - Experience in creation of data pipelines to (1) retrieve large datasets from websites, on-prem (Hadoop) or commercial databases (GCP), (2) process the data and (3) incorporate it into dashboards or machine learning models. Experience in statistical analysis and data wrangling.Data Visualization - Development of interactive Streamlit and Qik Sense (some experience with Tableau and Power BI) dashboards.Robotic Process Automation (RPA) – Created bots to (1) scrape data from web, (2) automate tasks and (3) optimize processes. Machine Learning (ML) - Developed predictive models to aid processes and identify quality issues.Collaboration - Collaborated with cross-functional teams to identify data-driven opportunities for cost savings and process optimization. Show less

Supervised and mentored six RMIT interns developing Machine Learning models for the prediction of quality issues using connected vehicle data.

Developed a Machine Learning model to predict Vehicle Part weights. The final (Random Forest regression) model performed well (correlation coefficient of 0.903 and MSE of 0.017) and is to be incorporated into the prototype vehicle design pipeline.

Collaborate with clinical and translational researchers at the Murdoch Childrens Research Institute and the University of Melbourne. Resulted in multiple peer-reviewed publications including original research articles, invited reviews and book chapters, with several papers in top tier journals including Annals of Neurology and Nature Genetics.

Developed new peptide toxin therapeutics in a study funded by Multiple Sclerosis Research Australia, and examined novel modes of regulation in potassium channel trafficking mediated by matrix metalloproteases. Worked on a project identifying new antibiotics against multi-drug resistant gram-negative bacteria using various microbiology and omics technologies (metabolomics and transcriptomics).

Served on the Australian Science and Innovation Forum (2014-2016) in partnership with the Academy of Technological Sciences and Engineering (ATSE) to foster stronger connections and collaborations between industry and academia.Vision: to foster Australia’s innovation culture; to champion science, engineering and technology start-ups; and to encourage and facilitate the development of innovative new products and services from Australian research. We particularly focus on encouraging the… Show more Served on the Australian Science and Innovation Forum (2014-2016) in partnership with the Academy of Technological Sciences and Engineering (ATSE) to foster stronger connections and collaborations between industry and academia.Vision: to foster Australia’s innovation culture; to champion science, engineering and technology start-ups; and to encourage and facilitate the development of innovative new products and services from Australian research. We particularly focus on encouraging the development and teaching of entrepreneurial skills to emerging young researchers and business people. We host Innovation Week each year (started 2015) to celebrate innovation, entrepreneurship and investment across the Australasia-Pacific region. Show less

Developed new peptide toxin therapeutics in a study funded by Multiple Sclerosis Research Australia, and examined novel modes of regulation in potassium channel trafficking mediated by matrix metalloproteases.