Harrison Marick, Developer in Mount Pleasant, SC, United States
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Harrison Marick

Verified Expert  in Engineering

Data Scientist and Developer

Location
Mount Pleasant, SC, United States
Toptal Member Since
March 1, 2024

Harrison is a seasoned professional with experience delivering predictive machine learning and NLP algorithms, back-end infrastructure, front-end data visualization tools, and web apps. He has built many data products from scratch, helping firms monetize their data. Additionally, Harrison has worked as an individual contributor and project leader, driving a team of data scientists toward a common goal: maximizing business value.

AnalyticsStatisticsMachine LearningPython 3Artificial Intelligence (AI)Natural Language Processing (NLP)OpenAILarge Language Models (LLMs)MacOSAmazon Web Services (AWS)Streamlit

Availability

Part-time

Preferred Environment

MacOS, Python 3, Spyder

The most amazing...

...product I've built offered custom no-code predictive models on a customer-facing app called Rithmm that reached thousands of users.

Work Experience

Lead Data Scientist

2021 - PRESENT
Tiber Solutions
  • Worked as the lead data scientist developing an artificial intelligence product from idea to market for a fast-growing startup that now services thousands of users.
  • Brought a fintech product to market leveraging natural language processing and large language models to assess the regulatory risk of publicly traded companies.
  • Managed a team of several data scientists across multiple projects to deliver custom-tailored solutions across various industries, including finance, pharmaceuticals, gaming, and insurance.
Technologies: Python 3, Amazon Web Services (AWS), Azure, Machine Learning, Artificial Intelligence (AI), Large Language Models (LLMs), OpenAI, Natural Language Processing (NLP)

Senior Data Scientist

2018 - 2021
Big League Advantage
  • Developed predictive machine learning models across several sports that proved profitable when deployed for sports betting.
  • Grew revenue and team size as the initial data scientist in a team of over 20 technical colleagues. Hired and managed a team of roughly five team members.
  • Led the launch of multiple revenue streams that leveraged our custom-built artificial intelligence products.
Technologies: Amazon Web Services (AWS), Machine Learning, Artificial Intelligence (AI)

Sentiment Analysis of SEC Documents

This project involved designing an artificial intelligence engine to analyze publicly traded companies' SEC filings and assess their regulatory risk. I built an engine that ingests SEC documents and uses a custom-built artificial intelligence algorithm that leverages NLP and sentiment analysis to evaluate publicly traded companies based on regulatory risk. In addition to the algorithm, I developed the entirety of the back-end infrastructure in AWS (Docker, ECS, Batch) that ran the updated results regularly.
2013 - 2018

Bachelor's Degree in Mathematics and Statistics

Amherst College - Amherst, MA, USA

Tools

Spyder

Frameworks

Streamlit

Languages

Python 3

Paradigms

Data Science

Platforms

MacOS, Amazon Web Services (AWS), Azure

Other

Predictive Modeling, Analytics, Machine Learning, Mathematics, Statistics, Consulting, Artificial Intelligence (AI), Natural Language Processing (NLP), OpenAI, Large Language Models (LLMs), Infrastructure, Cloud Computing

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