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Max Flander, Software Developer in San Francisco, CA, United States
Max Flander

Software Developer in San Francisco, CA, United States

Member since March 31, 2016
Max has been working as a data scientist since 2013, backed by a Ph.D. in mathematics. His areas of expertise include data engineering, predictive modeling, recommender systems, information retrieval, and crowdsourced data curation. With exceptional communication skills and his knack for cutting to the heart of the discussion, Max has worked in Agile teams of varying sizes, and he is known for running highly effective stand-ups, planning, and team retrospectives.
Max is now available for hire
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Portfolio

Experience

Location

San Francisco, CA, United States

Availability

Part-time

Preferred Environment

Amazon Web Services (AWS), AWS, Docker, Git, Linux

The most amazing...

...thing I've built is a 20GB per day AWS S3 JSON to HDFS/Impala ETL pipeline, using Hive and Hadoop Streaming.

Employment

  • Data Scientist

    2014 - PRESENT
    SEEK, Ltd.
    • Performed data analysis and modeling, using Python, Pandas, and scikit-learn.
    • Worked on a team that was building a Haskell ETL pipeline.
    • Implemented real-time data visualization using D3, Google Maps, and Tableau.
    • Built a 20GB per day AWS S3 JSON to HDFS/Impala ETL pipeline, using Hive and Hadoop Streaming.
    • Crowdsourced a data curation project, using CrowdFlower.
    • Built and deployed a batch-scored predictive model running on six million records per week on a SQL Server.
    Technologies: Amazon Web Services (AWS), Spark, Hadoop, AWS, Python

  • 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 tools such as Trello and Bitbucket.
    Technologies: Amazon Web Services (AWS), RapidMiner, AWS, Python

Skills

  • Languages

    Python, SQL, Clojure, Python 3, Ruby, Haskell, JavaScript

  • Frameworks

    AWS EMR, Apache Spark, Hadoop, Mach-II, Ruby on Rails (RoR), Flask, Spark, Windows PowerShell, ClojureScript

  • Libraries/APIs

    Pandas, Requests, Scikit-learn, Matplotlib, TensorFlow, PyTorch

  • Tools

    Apache, Git, Tableau, Emacs, AWS CloudFormation

  • Paradigms

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

  • Platforms

    Amazon Web Services (AWS), Docker, Linux, Unix, Kubernetes, Windows, Windows Server 2012, RapidMiner

  • Storage

    Redshift, Amazon S3 (AWS S3), Microsoft SQL Server, Elasticsearch, PostgreSQL, MySQL, MongoDB

  • Industry Expertise

    Security

  • Other

    Web Scraping, Regular Expressions, Smart Contracts, ADK, Quality Assurance (QA), Deep Learning, Natural Language Processing (NLP), Integration Testing, AWS, Mathematics, eBay, Gradient Boosted Trees

Education

  • Ph.D. 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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