Specialist Computer Scientist

About

I'm a leading Computer Scientist and Researcher based in Melbourne

Dr. Anthony Quattrone is a leading Computer Scientist working in the field of advanced data analytics in the professional services industry. Anthony holds a PhD in Engineering - Computer Science and a Bachelor's degree in Computer Science (First Class Honours) both received from the University of Melbourne. Research interests include mobile security, mobile privacy and spatial databases.

Anthony has extensive experience in developing advanced scientific algorithms, implementing software solutions to solve information management problems and using analytical tools to derive insights from organisational data stores.

Telemus AI Contact:
Email: anthony@telemus.ai
3705/464 Collins St
Melbourne, VIC
3000

Rosetta Analytics Contact:
Email: anthony@rosettaanalytics.com.au
Level 5/447 Collins St
Melbourne, VIC
3000


Social Media:
Feel free to contact me or follow me on social media.

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Corporate Experience

University of Melbourne
University of Melbourne
Deloitte
Deloitte
NAB
NAB
Australia Post
Australia Post
VIC Super
Vic Super
Toll Group
Toll Group
IComm
IComm
Lamson
Lamson Security
eKPI Solutions
eKPI Solutions

Services

I provide a range of services to make technology more accessible to my clients.

Artificial Intelligence, Data Science and Analytics
Consulting
Research
Software Engineering
Mobile Apps
Corporate Training

Profile

Education

  • Doctor of Philosophy - Engineering, Computer Science - The University of Melbourne
  • Bachelor of Computer Science (Honours) - Received First Class Honours (H1) - The University of Melbourne
  • Bachelor of Computer Science - The University of Melbourne

Awards

  • Best Poster Award for Mining City-Wide Encounters in Real-Time presented at ACM SIGSPATIAL 2016
  • Best Academic Poster Award for Combining Range-Based and Range-Free Methods: A Unified Approach for Localization
  • Deloitte National Internal Data Mining Kaggle Competition
  • Attained the highest VCE score for Information Systems

Skills Summary

  • Advanced level of SQL and SAS programming ability in relation to deriving analytics insights
  • Advanced C, C++, C#, Java, Excel VBA, PHP and Python programming ability
  • Advanced level of knowledge in web scrapping for use in analytics
  • Advanced level of Viscovery and Tableau knowledge
  • Advanced level of data mining and modelling ability
  • Experience in ArcGIS in use of advanced geospatial analysis
  • High level of Haskell and Prolog programming ability
  • Advanced SQL database administration and implementation knowledge
  • Vast knowledge and experience in HTML and CSS
  • Advanced operating system knowledge both in Microsoft Windows and Unix™ based systems
  • Advanced Microsoft Office (including Word, PowerPoint, Excel, Access) skills.
  • Excellent interpersonal skills
  • Excellent written and verbal communication
  • Works effectively in a team environment
  • Proven ability to learn new technologies quickly
  • Demonstrated good organising and time management skills
  • Demonstrated to be dependable and have a positive "can do" attitude
  • Proven to be punctual and prompt in work habits
  • Displayed an ability to work independently
  • Experienced in customer relations and problem solving
  • Designed, tested and executed programs

Portfolio

A collection of various cross-discipline projects, click on an image to navigate the gallery.

  • Tableau and Power BI Solutions
  • Analytics Dashboards
  • Spatial Solutions
  • Mapping Portals
  • Business Automation Portals
  • Advanced Data Portals
  • Mobile Games and Apps
  • OpenGL 3D Solutions
  • Data Mining and Data Modelling

Academic Publications

My research is in the area of mobile data security and privacy has resulted in a number of publications. You can find my Google Scholar profile here.


PhD Thesis

Academic Papers


Citations


Network Map Renewables

Network Map Renewables is a free and dedicated Renewables Energy Portal. Complete with timely open access information of thousands of sustainability projects, geocoded with cadastre boundaries with spatial files downloadable into ESRI, GeoJSON and CSV. Complete with integration to near real-time generation information.


Academic Posters

Below are academic posters previously displayed at conferences.
Click on the poster for the PDF version.


GIS '16 Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information System
CIKM '14 Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management

Contact

Telemus AI, 3705/464 Collins St
Melbourne VIC 3000

Rosetta Analytics, Level 5/447 Collins St, Melbourne VIC 3000