
Timeline
About me
Data Scientist | AI & Machine Learning | Process Automation | Data Visualisation | Consultant, Contractor
Education

Rmit university
-Master's degree data science
Rmit university
-Mdatasc data science
University of queensland
-Phd biochemistry
Experience

Walter and eliza hall institute of medical research
Feb 2008 - Dec 2010Senior research officerDeveloped 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.

Monash university
Dec 2010 - Apr 2019Senior postdoctoral fellow, monash institute of pharmaceutical sciencesDeveloped 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).

Australian academy of technology and engineering
Sept 2014 - Jun 2016Executive member, australian science and innovation forumServed 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

Murdoch childrens research institute
Dec 2014 - Apr 2019Honorary research fellow, bruce lefroy centre for genetic health researchCollaborate 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.

Ford australia
Jul 2019 - Oct 2019Data science internDeveloped 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.

Freelance
Jan 2020 - nowData scientist | consultant | contractorExperienced 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

Ford australia
Feb 2020 - Jun 2024Data scientist / data analytics engineerKey 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

Ford motor company
Feb 2020 - Sept 2022Rmit data science intern mentorSupervised and mentored six RMIT interns developing Machine Learning models for the prediction of quality issues using connected vehicle data.

Industry mentoring network in stem
Jul 2023 - nowIndustry mentorIMNIS 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.

Bioport ai
Jul 2024 - nowFounderBioPort AI is your go-to resource for comprehensive biotech industry intelligence. Our platform aggregates and analyzes data from multiple sources to provide you with actionable insights and up-to-date information on the rapidly evolving biotech landscape.Whether you're a researcher, investor, or industry professional, BioPort AI empowers you to make informed decisions and stay ahead of the curve in the dynamic world of biotechnology.

Smec ai
Oct 2024 - Dec 2024Participant, ai pathfinder programThe 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
Licenses & Certifications
- View certificate

Java
SololearnJun 2019 - View certificate

Statistical learning
Stanford online openedxApr 2014 - View certificate

Use python django to build a website
CourseraSept 2021 - View certificate

Neural networks and deep learning
CourseraApr 2021 - View certificate

Cleaning data in r
Datacamp - View certificate

Introduction to r
Datacamp - View certificate

Use python to create a web testing bot
CourseraAug 2021 - View certificate

Intermediate r
Datacamp - View certificate

Deep learning specialization
CourseraJul 2021 - View certificate

Build a clustering model using pycaret
CourseraAug 2021
Honors & Awards
- Awarded to Charles GaleaFord - Rewards and Recognition Program (Certificate of Appreciation) Ford Motor Company May 2023 Award for development of a global ED&T labor rate dashboard enabling new data analytics and insights to drive down global ED&T cost.This is in recognition for exhibiting exemplary Ford+ behaviour and taking initiative to work with determination for our businesses and customers.
- Awarded to Charles GaleaFord - Rewards and Recognition Program (Certificate of Appreciation) Ford Motor Company Jun 2022 Award for creating an Innovation Dashboard that will aid internal customers of Innovation to access their behaviors.
- Awarded to Charles GaleaFord - Leadership Award (VCSE Innovation Awards 2020) Ford Motor Company Nov 2020 Automated Warranty Claims Binning using ML.
- Awarded to Charles GaleaFord - Reward and Recognition Program (Certificate of Appreciation) Mark Ovenden (President, Ford International Markets Group) Nov 2020 Award for creating a Machine Learning based 'Automated Claims Binning' efficiency tool to aid in addressing Warranty Issues.
- Awarded to Charles GaleaFord - Asia Pacific Recognition Program Mark Ovenden (President, Ford International Markets Group) Jul 2020 Significant Contribution and Drive of the T6 Warranty Energy Room.
- Awarded to Charles GaleaFirst Prize, Software – ‘VizMyGrant’ HealthHack 2014, Melbourne Apr 2014
- Awarded to Charles GaleaThird Prize (“Spirit of HealthHack’ prize), Software - ‘MIF - Mutational Instability Filter’ HealthHack 2014, Melbourne Apr 2014
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