<commit_before>---
permalink: /
title: "Home"
excerpt: "About me"
author_profile: true
redirect_from:
  - /about/
  - /about.html
---

<NAME> is a Data Economist at BlockScience; engineering, research, and development, and analytics firm focused on the design and analysis of complex networks. At BlockScience Andrew creates ecosystem economic design specifications by simulating the designed ecosystem using Python-based methods. Employing mathematical engineering technologies, he creates novel solutions by utilizing time-tested systems engineering practices to solve business problems.

Andrew is co-founded and Chief Technlogy Officer of a machine learning assurance company called
<a href="https://www.monitaur.ai/">Monitaur</a>. Monitaur solves a key problem that has been preventing wide-spread machine learning adoption: the lack of a holistic approach to machine learning risk management. Monitaur has created a risk management and regulator friendly 'SIEM' system that records all model predictions with an understandable description of why a transaction has occurred.

![](images/Monitaur.png =300x300)


Andrew received a B.S. in Business Administration with a concentration in Accounting, Summa Cum Laude, from the University of Tennessee at Chattanooga, an M.S. in Data Science from Southern Methodist University, and is a Ph.D. student in Economics at the University of Reading. He also holds the Certified Analytics Professional, American Statistical Association Graduate Statistician, and AWS Certified Solutions Architect - Associate certifications. 

An avid conference speaker, Andrew has appeared as a speaker at numerous conferences presenting on open source audit analytics, machine learning, and emerging technologies.


### Disclaimer
All views or positions expressed on this site are my own and do not necessarily reflect the views of any entity whatsoever with which have been, am now, or will be affiliated with in the future.<commit_msg>latest<commit_after>---
permalink: /
title: "Home"
excerpt: "About me"
author_profile: true
redirect_from:
  - /about/
  - /about.html
---

<NAME> is a Data Economist at BlockScience; engineering, research, and development, and analytics firm focused on the design and analysis of complex networks. At BlockScience Andrew creates ecosystem economic design specifications by simulating the designed ecosystem using Python-based methods. Employing mathematical engineering technologies, he creates novel solutions by utilizing time-tested systems engineering practices to solve business problems.

Andrew is co-founded and Chief Technlogy Officer of a machine learning assurance company called
<a href="https://www.monitaur.ai/">Monitaur</a>. Monitaur solves a key problem that has been preventing wide-spread machine learning adoption: the lack of a holistic approach to machine learning risk management. Monitaur has created a risk management and regulator friendly 'SIEM' system that records all model predictions with an understandable description of why a transaction has occurred.

Andrew received a B.S. in Business Administration with a concentration in Accounting, Summa Cum Laude, from the University of Tennessee at Chattanooga, an M.S. in Data Science from Southern Methodist University, and is a Ph.D. student in Economics at the University of Reading. He also holds the Certified Analytics Professional, American Statistical Association Graduate Statistician, and AWS Certified Solutions Architect - Associate certifications. 

An avid conference speaker, Andrew has appeared as a speaker at numerous conferences presenting on open source audit analytics, machine learning, and emerging technologies.


### Disclaimer
All views or positions expressed on this site are my own and do not necessarily reflect the views of any entity whatsoever with which have been, am now, or will be affiliated with in the future.
{'fraction_non_alphanumeric': 0.045232588023644306, 'fraction_numerical': 0.0015420200462606013, 'mean_word_length': 5.129133858267717, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 9, 'https://': 2, 'lorem ipsum': 0, 'www.': 2, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '1148629', 'n_tokens_mistral': 900, 'n_tokens_neox': 826, 'n_words': 517}