Moe Amanzadeh, Ph.D. Email and Phone Number
Disclaimer: The views are my own.- Seasoned strategic leader in technology, advanced analytics, AI, data science, and machine learning.- Over 15 years delivering high-value software and analytical solutions across industries.- Expert in solving industry challenges using first principles, statistical modeling, machine learning, and AI techniques.- Developed predictive, optimization, and decision-making models and tools.- Extensive experience in team building, strategy, and technology for exceptional performance, safety, and productivity improvements.- Proven track record in data-driven predictive analytics, product management, stakeholder engagement, and strategic partnerships.- Extensive experience working with global, multidisciplinary teams and building capabilities.- Strong track record in leading and managing large, cross-functional teams to drive innovation and achieve business objectives.- Collaborated globally with top engineers and scientists on advanced technologies and projects.- Known for work in distributed predictive maintenance, sensing, predictive mining and robotics in mining and industrial, leading to successful software products and technologies.- Passionate about leveraging data to drive strategic business decisions and create competitive advantages.- Gallup strengths: Communication, Ideation, Strategy, Significance, and Focus.Interests: Energy transition, AI, Data Science, Data Engineering, Machine learning, Algorithms, Deep learning, Recommendation systems, Digital innovation, Data mining, Big data, Sensors, robotics, statistical and numerical simulation,...Tech Skills:-Python (Pandas, NumPy, MatPlot, Plotly, Tensorflow, Seaborn, Scikit-learn, SQLAlchemy, fastai)-Matlab, C++, Bash-Databases: MySQL, Oracle, NoSQL, coackroachdb, elasticsearch, OSI PI, IP21-Technologies: Azure , Google Cloud, DataIKU, DataBricks, OT/IT, - Visualisaitons: Plotly, Dash apps, Pi vision, Power Bi, Grafana, Seeq, Power Apps....-Machine Learning: linear regression, logistic regression, Neural Networks, unsupervised learning, supervised learning, Clustering, Regularization, support vector machines, Recommendation Systems, decision trees, Random forest, KNN, Operational Research (OR), Graph theory, statistical analysis, and Monte Carlo simulations, Large Langauge Models (LLMs)- Deep Learning, Convolutional Neural Networks, ViTs-Algorithms, Data structures, Data Lake, Linear Algebra
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Adjunct ProfessorSt. Bonaventure UniversityUnited States
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Ceo & FounderSensyt Ai 2024 - PresentDefining industrial AI for mining and energy, one step at a time Boutique Data and AI company with deep Industrial, Energy and Mining expertise and focus on enabling ROI and business outcomes- RapidAiApp: rapid bespoke data and AI applications development for your business… contact us today- TrackGas: Data As A Service… Fully integrated fuel management solution, IoT sensors, AI theft detection, emission tracking and reporting … Book a demo now- Longwall-Viz: advanced longwall visualization, analytics and reporting platform… Book a demo now- Ai Remote Operation Support Centre: our advanced virtual operation support centre designed to x10 operational decision making and staff efficiency…. Book a demo now -
Advisor Data Science, Ai And TechnologySt. Bonaventure University 2020 - PresentSt. Bonaventure, Ny, UsA/Professor of Machine Learning, Data Mining, and LLM applications in Cyber Security St Bonevature University, New York- mentoring industry leadersSeparate from teaching and SBU: VC Advisory: Technical expert with deep industry knowledge, advising various CVC and VC firms on market potential, technological feasibility, and scalability of early-stage startups. Startups Advisory: I have been advising various founders and pre-seed to seed startups in AI, Cyber, Energy, Mining, Sustainability, and Decarbonisation on technical, strategy, roadmap, product-market fit, ... Professionals Mentoring: I have been mentoring professionals in AI and ML from early career, Academia to Industry transition, and career path planning. Mentored over 15 individuals to successful careers (Principal levels)Conference Advisory: chaired, advised, team structure and strategy, organizing committee, committee member of various national and international conferences: Aerospace Futures, World mining congress, CLEO, OFSIS, Digitization,….Small Enterprise AI Strategy: I have been advising small companies (3-50 people) on establishing and executing data and AI strategy, tooling, and training. Network:Australia: UQ Ventures, QLD AiHUB,...USA: Y combinator investors network, Plug and Play Tech Centre
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Lead Ai & Data ScienceAnglo American Feb 2021 - Sep 2024London, England, GbA leading global mining company of 120,000+ employees and 56 mines across 5 continents; producing diamonds, metals, and minerals.Strategy+AI = delivering Value and Business Outcomes - Established and expanded AI, data science, and data engineering team and capabilities, enhancing data-driven decision-making and advanced analytics capabilities to enhance safety and operational performance. Hired and led a diverse high-performing team, implementing agile methodology to deliver transformational solutions.- Combining data, robotics, machine vision, time series, deep learning and machine learning to drive value - Developed and maintained reporting, innovative data science, machine learning and deep learning backed solutions and applications significantly improving business performance, safety, and carbon emission reduction.Tools and Platforms: Azure, Python, SQL, SSMS, DevOps, CICD, OSI PI, IP21, Influx db, DataBricks, Plotly/Dash, Deep Learning, Dagster, Airflow, Operations Research (OR), Simulation, Linear Programming, Time series, APIs, DataIKU, LLM, RL, GNN, Power Bi, Power Platform…. -
Senior Data ScientistMitsubishi Corporation 2020 - 2021Tokyo, Tokyo, JpSpecial Projects for CIO- Haulage optimization (route and allocation optimization)- Worked within BHP IROC+ (Remote Operation Centre)* Built ML and optimization using machine learning, linear programming and monte carlo simulation (solution scaled to 7 op sites in later stage). The team proved revenue and production improvementTools: Agile Jira, AWS, Amazon S3, Python, Pandas, Gitlab, and Minestar, ensuring the delivery of innovative, robust, and scalable solutions. -
Data Science FellowLinqia 2020 - 2020San Francisco, California, Us- Developed recommendation systems using KNN, implicit ALS and deep learning for social media marketing- Data input a reach repo of scrapped social media data and developed data engineering pipeline using google vision and NLP APIs for feature engineering Tools: Machine learning, Python, Jupyter, Pandas, SQLAlchemy, MySQL, coackroachdb, collaborative filtering ALS, implicit, Google APIs, Google Cloud -
Chief Data Scientist & Co-FounderMediroo 2018 - 2020Brisbane, Queensland, Au- Technical and People Management Developing a health-gpt (before gpt!)Google Cloud Platform (GCP)NLP (Natural Language Processing) Medical Language ModelGoogle FirebaseSome of our work is open sourced and freely available on healthhack 2019 repo -
Data Scientist And Artificial Intelligence ResearcherThe University Of Queensland 2016 - 2020Brisbane, Queensland, AuBack to academia with 10 years industry experience while working on my businesses/startups- My PhD is a multi disciplinary in applied AI, Machine Learning, Robotics; which involved developing algorithms and software code for optimization of 3D positioning algorithms and complex design decisions. My algorithms involved geometrical, machine learning, statistics, optimization, and development of new methods and frameworks. - Developed a design, optimization and simulation framework for shape and positioning - Conducted statistical analysis and machine learning - Identified ROI for technology implementation with Monte carlo simulation and scenario analysis using actual field data - Invited talk at ICRA 2018In addition to my PhD endeavors, I contributed and developed many other projects:- Defined scope and mentored 3 other PhDs- Developed a cloud Application for road quality detection and categorization- machine vision and deep learning on cloud point data, and unsupervised machine learning -
Project LeaderThe University Of Queensland 2016 - 2020Brisbane, Queensland, Au
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Ceo & FounderSensyt 2016 - 2020Industrial AI and robotics enabled by distributed sensing
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Visiting Research FellowMax Planck Institute For The Science Of Light Mar 2017 - Dec 2017Erlangen, Bayern, De- Machine Learning for Physicists - Cutting edge research on hollow core fibres that are pose to revolutionize data centres, telecommunications, sensing and robotics -
Data Science Manager (Project Leader)Mining3 Jul 2013 - Mar 2016Brisbane, Queensland, Au- Technical and people management Established and led a team developing predictive algorithms and software using data from novel sensors and field robotics for global industrial equipment manufacturers (JV partners). - Developed strategy and technology roadmap with multiple horizons - Built and led a team- Intellectual property development - Budget, funding, global projects- Tech/Dev from Ideation to commercial -
Research And Development EngineerMining3 Jun 2011 - Jun 2013Brisbane, Queensland, AuTechnology development in AI, ML and sensing- Reducing energy intensity through operational efficiency - Prof Bremhorst Prize for best presentation related to energy
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Electrical Project EngineerAbb Jan 2011 - Jan 2013Zurich, Zh, ChManaged technical reviews and key aspects of a $70M capital project.Oversaw control logic design validation, installation, and commissioning.Led contractor management and ensured successful project completion and handover. -
VariousVarious Companies 2003 - 2010Greenwich, Ct, UsVarious roles and entrepreneurial endeavors while studying:- Started and bootstrapped a hospitability business ($1k cash to 160 rentals)- Started a successful electronic hardware business- Worked at various companies: - Data Engineer: Digitisation and implementation of ERP and financial accounting software and databases at a major trading company - Project Engineer/Manager: Managed capital EPCM (Design, Engineering, Procurement, and Construction Management) in safety, sensing and IOT projects for oil and gas, manufacturing, ...- Internship: building Renault car manufacturing line Automation system logics and trainings
Moe Amanzadeh, Ph.D. Skills
Moe Amanzadeh, Ph.D. Education Details
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The University Of QueenslandApplied Robotics And Sensing -
San José State UniversityControl And Robotics
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The University Of QueenslandEngineering
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Shandong University Of Science And TechnologyUq International Travel Award
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The University Of QueenslandElectrical Engineering
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IauElectrical And Electronics Engineering
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Max Planck Institute For PhysicsDoctor Of Philosophy - Phd
Frequently Asked Questions about Moe Amanzadeh, Ph.D.
What company does Moe Amanzadeh, Ph.D. work for?
Moe Amanzadeh, Ph.D. works for St. Bonaventure University
What is Moe Amanzadeh, Ph.D.'s role at the current company?
Moe Amanzadeh, Ph.D.'s current role is Adjunct Professor.
What schools did Moe Amanzadeh, Ph.D. attend?
Moe Amanzadeh, Ph.D. attended The University Of Queensland, San José State University, The University Of Queensland, Shandong University Of Science And Technology, The University Of Queensland, Iau, Max Planck Institute For Physics.
What skills is Moe Amanzadeh, Ph.D. known for?
Moe Amanzadeh, Ph.D. has skills like Fiber Optic Sensors, Presentation Skills, Spectroscopy, Research And Development, Engineering Management, Amazon Web Services, Data Science, Autocad, Agile Project Management, Photonics, Matlab, Data Analysis.
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