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Extensive experience in AI and Machine Learning designing solutions and building capabilities at scale. Establishing machine learning operations (MLOps) and advanced analytics application development workflow, data quality improvement pipeline, and large scale data minings toward developing productionised recommender engines and real-time interactive platforms.Specialties: Linear and non-linear predictive modelling, Machine learning, Deep learning, Artificial neural networks, Robust statistical modelling, High-dimensional quantitative analytics, Experimental design, Data mining and visualisation, Data quality improvement, Data integration, Information retrieval, Cloud computing, NLP and text mining, Image processing and features discovery.Outside of work: Learning about new AI and machine learning technologies, Developing R package (R contributor), Developing machine learning based application (APIs) for IoT (SmartHome), Developing and extending new statistical and machine learning techniques and publishing research paper.
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Ai Solution ArchitectSnowflakeSydney, Nsw, Au
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Director Of Ai And Ml ConsultingNeoxa Aug 2023 - PresentSydney, Nsw, AuAt NEOXA, we embark on a mission to empower organisations with unparalleled Data Modernisation, Graph Analytics, Machine learning, AI and GenAI expertise. -
Head Of Data & AiPlerion Feb 2022 - Jul 2023Sydney, New South Wales, Au -
Principal Scientist, Director Ai Centre Of ExcellenceSuncorp Group Sep 2021 - Feb 2022Brisbane, Brisbane, Au• Design focus across all Data Science & AI initiatives• Advocacy for Data Science & AI across the Group• Developing the Data Science & AI ecosystem (platforms, tools and processes) -
Principal Data ScientistTabcorp Nov 2018 - Sep 2021Melbourne, Victoria, Au• Leading AI Platforms & Data team; data product development and solution design• Self-service data science capability and automated MLOps service• Machine learning-based app for responsible gambling and money laundering -
Lead Data ScientistMacquarie Group Jan 2017 - Dec 2018Sydney, Nsw, Au• Machine learning-based dynamic product (car) recommendation engine• NLP-based propensity application for attrition and retention• Established an AI-based customer prospecting initiative for a car finance product -
Senior Data ScientistDomain Sep 2015 - Jan 2017Pyrmont, New South Wales, Au• Reinforcement predictive model for property price prediction • Automated machine learning-based data quality improvement platform• Hybrid NLP-based and image recognition service for a property type classifier -
Data ScientistOptus Mar 2015 - Sep 2015Macquarie Park, Nsw, Au• Design of experiments for marketing pre-campaign in Telecommunications• Service and customer segmentation model for mobile campaign optimisation• Customer's behavioural pattern recognition and Customer Lifetime Value models for product pricing -
Postdoctoral Research FellowNational Institute For Applied Statistics Research Australia (Niasra), University Of Wollongong Oct 2013 - Mar 2015Wollongong, Nsw, Au• Statistical consultancy for industries and external clients (GRDC, MLA, CSIRO)• NLP-based cancer stage classifier based on oncological reports• Machine learning-based classifier for MRI brain images of patients with early HIV infection -
LecturerNational Institute For Applied Statistics Research Australia (Niasra), University Of Wollongong Feb 2011 - Apr 2014Wollongong, Nsw, AuTeaching subjects:• Advanced Statistics for Business (MBA)• Econometrics• Statistical Modelling• Computational Statistics• Statistics for Medical Sciences• Probability and Uncertainty
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Applied ScientistSmart Infrastructure Facility Aug 2012 - Oct 2013Wollongong, Nsw, Au• Model-based dynamic synthetic population for NSW• Analysis of dynamic multi-dimensional Household Travel Survey data • Efficient computational technique for dynamic evolution using rcpp-HPC -
Research ScientistIct Research Institute Nov 2011 - Sep 2012• Light-field rendering and image processing• Capturing and modelling of big camera ray and pixel data• Novel modelling approach for multi-variate pixel data
Payam Mokhtarian Skills
Payam Mokhtarian Education Details
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University Of WollongongStatistical Methodology -
Isfahan University Of TechnologyComputational Statistics
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Shahid Chamran University Of Ahvaz (Jundi Shapur)Statistics & Computer Science
Frequently Asked Questions about Payam Mokhtarian
What company does Payam Mokhtarian work for?
Payam Mokhtarian works for Snowflake
What is Payam Mokhtarian's role at the current company?
Payam Mokhtarian's current role is AI Solution Architect.
What is Payam Mokhtarian's email address?
Payam Mokhtarian's email address is pa****@****.com.au
What is Payam Mokhtarian's direct phone number?
Payam Mokhtarian's direct phone number is +612928*****
What schools did Payam Mokhtarian attend?
Payam Mokhtarian attended University Of Wollongong, Isfahan University Of Technology, Shahid Chamran University Of Ahvaz (Jundi Shapur).
What are some of Payam Mokhtarian's interests?
Payam Mokhtarian has interest in Computational Intelligence, Data Science, Health, Children, Reliability Analysis, Education, Environment, Circular Statistics, Text Mining, Human Rights.
What skills is Payam Mokhtarian known for?
Payam Mokhtarian has skills like Spss, Matlab, R, Latex, Eviews, Rstudio, Data Science, Big Data, Machine Learning, Computational Intelligence, Soft Computing, Data Mining.
Who are Payam Mokhtarian's colleagues?
Payam Mokhtarian's colleagues are Nicole Pazmany, Mark Su, Stephen Murphy, Tj Waterbor, Allan Cantillo, Saurabh Kshirsagar, Addam Pittenridge.
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