Highly accomplished Senior Data Scientist and Statistical Modeller with nearly two decades of experience, specialising in translating complex data into actionable insights and strategic forecasts. Proven expertise in applying advanced analytical methods and Machine Learning (ML) to identify trends, build robust predictive models, and deliver data-driven business intelligence. Demonstrated ability to bridge the gap between advanced research (PhD in Data Science) and practical deployment, with strong leadership experience in a) developing and leading end-to-end AI/ML pipelines for forecasting and pattern recognition; b) establishing data governance, data lineage, and ethical AI practices across complex operational systems; and c) mentoring technical teams and fostering proficiency in modern data tools and cloud environments.

heerbod

Highly accomplished Senior Data Scientist and Statistical Modeller with nearly two decades of experience, specialising in translating complex data into actionable insights and strategic forecasts. Proven expertise in applying advanced analytical methods and Machine Learning (ML) to identify trends, build robust predictive models, and deliver data-driven business intelligence. Demonstrated ability to bridge the gap between advanced research (PhD in Data Science) and practical deployment, with strong leadership experience in a) developing and leading end-to-end AI/ML pipelines for forecasting and pattern recognition; b) establishing data governance, data lineage, and ethical AI practices across complex operational systems; and c) mentoring technical teams and fostering proficiency in modern data tools and cloud environments.

Available to hire

Highly accomplished Senior Data Scientist and Statistical Modeller with nearly two decades of experience, specialising in translating complex data into actionable insights and strategic forecasts. Proven expertise in applying advanced analytical methods and Machine Learning (ML) to identify trends, build robust predictive models, and deliver data-driven business intelligence. Demonstrated ability to bridge the gap between advanced research (PhD in Data Science) and practical deployment, with strong leadership experience in a) developing and leading end-to-end AI/ML pipelines for forecasting and pattern recognition; b) establishing data governance, data lineage, and ethical AI practices across complex operational systems; and c) mentoring technical teams and fostering proficiency in modern data tools and cloud environments.

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Language

English
Fluent
Persian
Fluent

Work Experience

AI trainer at Outlier
November 1, 2025 - Present
Train AI for easy and complex tasks
AI trainer at Alignerr
December 15, 2025 - Present
Train AI for easy and professional tasks like machine learning
Sessional lecturer at Victoria University
September 1, 2025 - Present
• Instruct undergraduate and postgraduate students on the fundamentals of information technology, Artificial Intelligence (AI) and data ethics, directly reinforcing governance best practices and promoting responsible AI deployment principles; • Teaching Online Business System Development to undergraduate and postgraduate students; • Facilitate practical exercises and discussions on responsible AI deployment, bias detection, and algorithmic fairness, directly reinforcing governance best practices; and • Creating course material on data science, AI, and related policies, maintaining advanced awareness of trends and progress in AI.
Senior Data Sceintist at Streamology
December 27, 2025 - Present
• Applying AI and remote sensing for environmental prediction/pattern recognition (e.g. Goulburn River MER, Remote sensing of Vegetation works around Waterways); • Leading the design and deployment of AI models and data engineering pipelines to enhance analytical capabilities and asset monitoring (e.g., Mid-Murray Flow MER); • Managing projects and working with interdisciplinary teams to implement innovative data science methods for waterway management; • Designing and implementing custom scripts and models to automate data processing and enhance analytical capabilities; • Designing and implementing data engineering pipelines, culminating in interactive dashboards (e.g. Power BI, Power Apps) and GIS visualisations (e.g. Biodiversity Assessment Tool, business costs insight); and
Senior Modeller/Analyst at DEECA
June 1, 2023 - November 30, 2024
• Leading enhancement of modelling work through an online documentation system and version control, improving system governance, transparency, and data lineage; • Directing data-driven analysis to inform project managers by integrating and analysing geospatial data from a variety of departmental databases; • Partnering with cross-functional teams and mentored junior staff on data tools and interpretation; • Managing extensive monitoring data collection and modelling works, leading reporting for regulatory compliance (e.g., MDBA); and • Various modelling, assessment and planning.
Data Sceintist at Melbourne Water
July 1, 2016 - June 1, 2023
• Developing and deploying machine learning models for forecasting, providing critical analysis and modelling outputs to inform policy development; • Developing PowerBI dashboards for business analysis and decision making • Writing scripts with Python and R for data analysis and data mining to support strategic planning and assessment; • Applying GIS and statistical analyses to manage and improve large databases, ensuring data integrity for critical modelling; • Contributing to the development of an online modelling platform and managing cloud-based modelling systems; • Conducting R workshops to facilitate knowledge sharing and promote technical proficiency within the team; • Stochastic data generation and modelling for probabilistic-based prediction; • Implementation of cloud-based modelling and data management practices, ensuring robust data quality and traceability for water resource systems; • Managing and improving large databases, ensuring data quality for modelling and reporting; • Collaborated with cross-functional teams to integrate data solutions into broader management strategies; • Implementing stochastic data generation and analysis to model uncertainty, enhancing the robustness of predictive models used for long-term scheme sustainability and risk management;

Education

PhD of IT at Victoria University
March 1, 2021 - February 1, 2026
Data-driven artificial intelligence-based forecasting
Masters of Sceince at UPM
February 1, 2009 - January 30, 2011
Application of machine learning for prediction under climate change
Bachelor of Engineering at Guilan Univerity
August 1, 2016 - June 1, 2000

Qualifications

AWS Cloud Foundation
September 1, 2025 - September 30, 2025
AWS Data Engineering
December 27, 2025 - December 27, 2025
ArcGIS Pro
May 1, 2025 - May 10, 2025

Industry Experience

Professional Services, Energy & Utilities, Education, Software & Internet, Other