Eleanor Thomas, Machine Learning Developer in Ingleside, IL, United States
Eleanor Thomas

Machine Learning Developer in Ingleside, IL, United States

Member since September 9, 2019
Eleanor is an analytics professional with 7+ years of experience, mostly in financial services/quantitative research and more recently with a healthcare social network. She is proficient in Python and SQL and comfortable with a variety of other programming languages and analytical tools. Her academic background is in mathematics, and she is also experienced with more advanced analytical models and machine learning techniques.
Eleanor is now available for hire




Ingleside, IL, United States



Preferred Environment

PyCharm, Sublime Text, GitHub, Jupyter, MacOS

The most amazing...

...project I've worked on is an analytical suite for optimizing the parameters of a volatility trading algorithm.


  • Data Analyst - Insights

    2019 - PRESENT
    • Built and maintained analytics packages to derive business insights and drive sales.
    • Constructed dimensional model framework for improved analytics capabilities and convert existing data.
    • Conducted regular code reviews to ensure the quality of data deliverables.
    Technologies: SQL, Python
  • Options Quantitative Researcher (Data Analysis)

    2016 - 2019
    Old Mission Capital
    • Built and maintained quantitative research infrastructure using Python, PostgreSQL, Git, and Linux.
    • Designed, prototyped, visualized and validated pricing algorithms in Python and Excel VBA.
    • Created and prototyped position management algorithms using Python and Excel VBA.
    Technologies: Linux, Git, PostgreSQL, Excel VBA, SQL, Python
  • Options Trader/Researcher

    2012 - 2015
    IMC Financial Markets
    • Conducted quantitative research on options trading strategies.
    • Built analytical tools in MATLAB utilizing connections to SQL databases.
    • Contributed to production trading software in conjunction with Java and C++ developers.
    Technologies: SQL, MATLAB


  • Deep Learning Image Classifier in PyTorch

    • Utilized transfer learning from pre-trained convolutional neural network to train image classifier for flower species
    • Developed command-line application for deploying trained model


  • Languages

    Python, SQL, Excel VBA, Snowflake
  • Tools

    MATLAB, GitHub, Jupyter, Sublime Text, PyCharm, Git
  • Paradigms

    Quantitative Research
  • Platforms

    Linux, MacOS
  • Storage

    PostgreSQL, MySQL
  • Other

    Machine Learning


  • Bachelor of Science Degree in Mathematics and Philosophy
    2008 - 2012
    Harvey Mudd College - Claremont, CA


  • Data Science Nanodegree
    APRIL 2019 - PRESENT

To view more profiles

Join Toptal
Share it with others