Hello, I’m Ali Mahmoudi 👋

AI & Data Science Leader | Research & Innovation Executive

I lead data science teams building enterprise ML systems for sports analytics and customer intelligence. Based in Melbourne, Australia, I combine statistical expertise with production experience to deliver scalable AI solutions.

My Journey

With 8+ years of experience in data science and AI, I’ve progressed from PhD research at the University of Melbourne to managing data science teams at a leading Australian sports technology company, where we build enterprise ML systems for sports analytics and customer intelligence.

Current Role

Data & AI Manager at Leading Australian Sports Technology Company (2025 - Present)

  • Managing data science teams and driving strategic AI implementation across the organization
  • Overseeing enterprise ML pipeline development on Azure & Databricks for real-time predictions
  • Leading cross-functional projects and stakeholder engagement at executive level
  • Architecting production-scale AI solutions for sports analytics and customer intelligence

Previous: Research Lead & Senior Data Scientist (2021 - 2025)

  • Led data science research initiatives and managed technical teams
  • Developed probabilistic models and statistical algorithms in Python
  • Built enterprise ML systems processing millions of predictions
  • Leveraged advanced statistical methods for sports prediction and customer analytics

Education & Research

PhD in Statistics, University of Melbourne (2017-2021)

  • Published research in PLOS Computational Biology
  • Developed ARGinfer Python package for statistical genomics
  • Visiting Researcher at Oxford University’s Big Data Institute

Technical Expertise

Languages: Python • R • Scala • SQL
Platforms: Azure ML • Databricks • Apache Spark
AI/ML: LLMs • NLP • OpenAI • Probabilistic Models • Statistical Algorithms
Focus Areas: Sports Analytics • Customer Intelligence • Team Leadership • Production ML Systems

Publications & Open Source

Research: “Bayesian inference of ancestral recombination graphs”, PLOS Computational Biology (2022)
Software: ARGinfer Python package for statistical genomics research

About This Site

Through Dr. Data Scientist, I share insights on building scalable ML systems, leading data science teams, and delivering production AI solutions in sports analytics and customer intelligence.

Let’s Connect