Chris Conlan

Financial Data Scientist

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  • Blog
    • Business Management
    • Programming with Python
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    • The Financial Data Playbook
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Stepping Into Data Science (Presentation & Photo Gallery)

April 22, 2017 By Chris Conlan Leave a Comment

We had great success last week presenting our new software for multivariate data visualization. I’d like to thank James Wang, Gretchen Martinet, and Jeff Holt of University of Virginia for making this presentation possible. Background James and I have a history of linking up to prototype cool tech products. We have very complimentary skill sets […]

Filed Under: 3D Technology and Virtual Reality, Chris Conlan Blog

Merging Data Science and Virtual Reality for Advanced Visualization

March 15, 2017 By Chris Conlan 1 Comment

It is an interesting time to be a data scientist. Tools, techniques, and expectations in different sub-genres are evolving asymmetrically. Most notably, I feel that visualization has lagged machine learning for quite a long time. I must clarify: While colorful corporation-friendly visualization platforms are thriving, technical visualization tools used by data scientists remain stagnate. By […]

Filed Under: 3D Technology and Virtual Reality

Machine Learning: Visualizing N-Dimensional Data

January 30, 2017 By Chris Conlan 2 Comments

Data scientists are often faced with the task of understanding and modelling multivariate data sets. As any experienced data scientist will tell you, it is usually hard to wrap your head around data with more than 4 columns. While we can plot relationships between each variable individually, it is difficult to intuitively understand multivariate patterns. […]

Filed Under: 3D Technology and Virtual Reality Tagged With: augmented reality science, big data, machine learning, University of Virginia 3D visualization software, virtual reality

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Latest Release: The Financial Data Playbook

The Financial Data Playbook

Available for purchase at Amazon.com.

Algorithmic Trading

Pulling All Sorts of Financial Data in Python [Updated for 2021]

Calculating Triple Barrier Labels from Advances in Financial Machine Learning

Calculating Financial Performance Metrics in Pandas

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