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Max Flander, Python Developer in Melbourne, Victoria, Australia
Max Flander

Python Developer in Melbourne, Victoria, Australia

Member since November 29, 2015
Max is now available for hire
Max Flander, Python Developer in Melbourne, Victoria, Australia
Max Flander

Python Developer in Melbourne, Victoria, Australia

Member since November 29, 2015
Max has a PhD in Mathematics. He has been working as a data scientist for the past 3 years with experience covering: data engineering, predictive modeling, recommender systems, information retrieval, and crowd-sourced data curation. He's an excellent communicator and has worked in Agile teams of varying sizes. He's a favorite for running stand-ups, planning, and team retros; thanks to his knack for cutting to the heart of the discussion at hand.
Max is now available for hire

Portfolio

Experience

  • Unix, 10 years
  • Python, 8 years
  • Git, 5 years
  • Agile Software Development, 3 years
  • Scikit-learn, 3 years
  • Amazon Web Services (AWS), 3 years
  • Hadoop, 2 years
  • Apache Spark, 2 years
Melbourne, Victoria, Australia

Availability

Part-time

Preferred Environment

*nix, Git, Docker, AWS

The most amazing...

...feeling I have is when I can help make people's life at work easier through through analysis, tools and engineering, or just a productive discussion.

Employment

  • Data Scientist

    2014 - PRESENT
    SEEK Ltd
    • Performed data analysis and modelling using Python, Pandas, and scikit-learn.
    • Worked on a team building a Haskell ETL pipeline.
    • Implemented real time data visualization using D3, Google Maps, and Tableau.
    • Built a 20 GB per day AWS S3 JSON to HDFS/Impala ETL pipeline using Hive and Hadoop Streaming.
    • Crowd sourced data curation using CrowdFlower.
    • Built and deployed a Batch-scored predictive model running on 6 million records per week on a SQL Server.
    Technologies: Python, Hadoop/Spark, AWS
  • Data Scientist

    2013 - 2014
    Predictive Match
    • Built a recommender system for a real estate website using Python.
    • Developed a prioritization model for recommendation algorithms using RapidMiner.
    • Implemented data analysis and visualization using a Python data science stack.
    • Performed clustering analysis of users using scikit-learn.
    • Collaborated using Trello and Bitbucket.
    Technologies: Python, AWS, RapidMiner

Skills

  • Languages

    Python, SQL, Clojure, Ruby, Haskell, JavaScript
  • Frameworks

    AWS EMR, Apache Spark, Hadoop, Flask, Windows PowerShell, ClojureScript
  • Libraries/APIs

    Pandas, Requests, Scikit-learn, Matplotlib
  • Paradigms

    Agile Software Development, Continuous Delivery (CD), Functional Programming, Continuous Integration (CI), Unit Testing
  • Platforms

    Amazon Web Services (AWS), Linux, Unix, Windows, Windows Server 2012, AWS Elastic Beanstalk, Docker
  • Storage

    Redshift, AWS S3, Microsoft SQL Server, Elasticsearch, PostgreSQL, MySQL, MongoDB
  • Other

    Web Scraping, Regular Expressions, Integration Testing
  • Tools

    Git, Tableau, Emacs, AWS CloudFormation

Education

  • PhD degree in Mathematics
    2009 - 2013
    University of Melburne - Melbourne, Australia
  • Bachelor of Science (Honors) degree in Mathematics
    2003 - 2006
    University of Melburne - Melbourne, Australia
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