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Data Scientist specializing in Machine Learning, Generative AI, Computer Vision and Member of STEM and Quantum computing career awareness Campaign
My passion is to bring exciting new research to practical products that significantly impact the lives of real people in a positive way. I have experience in industry developing highly successful and impactful products, as well as a solid academic background in both structured and unstructured data analysis, machine learning, generative AI and computer vision. My focus has been on Big data analysis as well as on modelling of temporal processes. Specialties: Machine learning, Generative AI, Big Data, Computer vision, Medical image analysis, Probabilistic graphical models, Deep learning , Large Language Models and Knowledge Graphs. Research and development
The Australian National University
Doctor of Philosophy (PhD), Computer Science
January 1, 2012 – January 1, 2015
The Australian National University
Master's degree, Computer Science
January 1, 2009 – January 1, 2011
The Islamia University of Bahawalpur
Bachelor of Science (BSc), Computer Science
January 1, 2003 – Present
Telstra and Accenture Joint Venture
Associate Director for Data Science
April 1, 2025 – Present
Australian Capital Territory, Australia
Telstra
Senior Data Scientist
August 1, 2019 – August 1, 2025
Canberra, Australian Capital Territory, Australia
Telstra
Machine Learning Engineer
April 1, 2017 – August 1, 2019
Canberra, Australian Capital Territory, Australia
Progyny, Inc.
Computer Vision Engineer
June 1, 2016 – March 1, 2017
New York City Metropolitan Area
The Australian National University, Australia
PHD Researcher
January 1, 2012 – January 1, 2016
Australia
The Islamia University of Bahawalpur
Lecturer
January 1, 2006 – January 1, 2009
Bilogix Software house
Software Development -> Team Lead
January 1, 2004 – January 1, 2006
Project Management
The Australian National University
June 24, 2026 – Present
Splunk MLTK
Splunk - NYC
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning academia, research, and industry, including roles at a major telecommunications company (Telstra) and a medical technology firm (Progyny). The progression from Software Development Team Lead to Machine Learning Engineer, Senior Data Scientist, and Associate Director for Data Science demonstrates adaptability and a continuous learning mindset. The experience in both research and production environments suggests a balanced perspective. However, the target role of 'Data Analyst' might be a step down from 'Associate Director for Data Science', potentially indicating a mismatch in career trajectory or a specific interest in a more focused analytical role. The breadth of skills in AI/ML is strong, but direct experience with traditional data analyst tools (e.g., advanced SQL, BI tools, specific data visualization platforms) is not explicitly detailed, which could be a gap for a pure Data Analyst role.
Soft Skills & Operational Fit
The candidate's experience as an 'AI project lead' and 'Team Lead' suggests strong leadership, project management, and stakeholder engagement skills. The description of developing algorithms, testing, and providing support indicates a detail-oriented and problem-solving approach. The academic background and research experience imply strong analytical and critical thinking abilities. However, specific soft skill assessments are not available.