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

Verified Expert  in Engineering

Machine Learning Developer

Ingleside, IL, United States
Toptal 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.



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.

Work Experience

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
2008 - 2012

Bachelor of Science Degree in Mathematics and Philosophy

Harvey Mudd College - Claremont, CA


Data Science Nanodegree



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


Python, SQL, Excel VBA, Snowflake


Quantitative Research


Linux, MacOS


PostgreSQL, MySQL


Machine Learning

Collaboration That Works

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