Gareth Morinan
Mentor
(4 reviews)
US$15.00
For every 15 mins
7
Sessions/Jobs
ABOUT ME
Data science manager & enthusiast
Data science manager & enthusiast
I am an experienced data science professional (10+ years overall, 2.5+ years senior management) who has exposure across the data stack; data pipelines, machine learning, data visualisation dashboards, as well as wider business strategy and compliance.
I have worked in a variety of industries; MedTech, PropTech, central Government, tech consultancy, logistics & social media analytics.
In my spare time I engage in personal interest projects, such as this Star Trek data visualisation dashboard (trekviz.com), writing data science articles (https://medium.com/@g.morinan) and data analysis of memes (https://www.wired.com/story/was-the-surprised-pikachu-meme-a-stealth-marketing-campaign/).
London (+00:00)
Joined May 2022
EXPERTISE
5 years experience | 4 endorsements
10 years experience | 4 endorsements
5 years experience | 3 endorsements
10 years experience | 4 endorsements
10 years experience | 3 endorsements
REVIEWS FROM CLIENTS
(4 reviews)
Doug Schumacher
June 2022
Great input as always. Not only solving my problems but clearly explaining why things happen the way they do.
Rohan Sharma
June 2022
He is kind of genius , he understood the requirement just from the job post and everything was done as expected even better . I will recommend Gareth .
Alejandra Perez
June 2022
Quick and smooth work through!
Doug Schumacher
June 2022
I've worked with Gareth previously, so returning for the same expert level of guidance. Great input.
Doug Schumacher
June 2022
Gareth's knowledge and skill were immediately clear. Thoroughly understood the problem, provided a fast solution and was able to explain the issues completely.
SOCIAL PRESENCE
click2label
Label images with a mouse click, within a Jupyter Notebook
Python
10
1
trekviz
viz of trek
HTML
9
1
EMPLOYMENTS
Data Science Advisor
ViralMoment
2021-01-01-Present
Advisor recruited after the founders read one of my articles. Responsible for data strategy, designing projects, and conducting fintech ...
Advisor recruited after the founders read one of my articles. Responsible for data strategy, designing projects, and conducting fintech crypto-sentiment analysis using natural language processing and time-series analysis.
Python
Signal Processing
NLP
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Python
Signal Processing
NLP
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Chief Scientific Officer
Machine Medicine Technologies
2019-04-01-Present
Head of Data Science and product development. Recruited and line-managed a cross-functional team. Established the data science functions ...
Head of Data Science and product development. Recruited and line-managed a cross-functional team. Established the data science functions of the company, which included building the data infrastructure, developing machine learning models, and being first author on several peer-reviewed scientific papers.
Python
MongoDB
Machine learning
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Python
MongoDB
Machine learning
Signal Processing
Data Science
Data Visualization
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PROJECTS
Interpretable Computer Vision for HealthcareView Project
2021
A SaaS platform that allows clinicians to easily perform computer vision analysis of patient videos. I led the team, of both data scienti...
A SaaS platform that allows clinicians to easily perform computer vision analysis of patient videos. I led the team, of both data scientists and fullstack engineers, to create this platform. I was the first author of peer-reviewed scientific papers documenting the machine learning models used on this platform. This paper helped secure new clients and increasing investor confidence, which led to a funding round that was over-subscribed.
Peer-reviewed papers:
https://www.sciencedirect.com/science/article/pii/S2666521221000223
https://pubmed.ncbi.nlm.nih.gov/34450879/
Python
Machine learning
Signal Processing
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Python
Machine learning
Signal Processing
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House Price Valuation and Forecasting Model
2018
A back-end system that returned property valuations. I designed and implemented a novel spatiotemporal estimation and forecasting model d...
A back-end system that returned property valuations. I designed and implemented a novel spatiotemporal estimation and forecasting model driven by a land registry database, which created 25 million individual house price forecasts in less than 3 hours. This system was deployed on the company's website.
Python
SQL
NumPy
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Python
SQL
NumPy
Pandas
AWS
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