Marianne Hoogeveen
Mentor
(7 reviews)
US$30.00
For every 15 mins
8
Sessions/Jobs
ABOUT ME
Data scientist with 8 years of startup experience (ML, optimization, analytics)
Data scientist with 8 years of startup experience (ML, optimization, analytics)
Co-founder and CTO at an AI startup using computer vision.
I hold a PhD in applied mathematics, and have over 8 years of experience as a data scientist, in fields such as manufacturing, healthcare and vertical farming.
Eastern Time (US & Canada) (-05:00)
Joined August 2023
EXPERTISE
10 years experience | 5 endorsements
7 years experience
9 years experience | 7 endorsements
10 years experience | 1 endorsement
7 years experience | 3 endorsements
9 years experience | 1 endorsement
5 years experience
REVIEWS FROM CLIENTS
(7 reviews)
Rafi Pryntz-Nadworny
December 2023
Helpful and straight to the point. I had a simple app idea and Marianne was able to help with the technology stack but also how to generate code as an non-developer!
SOCIAL PRESENCE
tensor-networks
References for the PyData 2019 presentation "the physics of deep learning using tensor networks"
7
1
ising
Testing whether samples of binary data are described well by a high temperature Ising model
Jupyter Notebook
4
2
EMPLOYMENTS
Co-founder / CTO
In the Loop AI
2023-07-01-Present
Image data extraction for second-hand fashion using computer vision.
Image data extraction for second-hand fashion using computer vision.
Computer Vision
Large Language Models
Computer Vision
Large Language Models
Machine Learning Engineer
Resonance Companies
2021-08-01-2023-08-01
Manufacturing and ecommerce
Manufacturing and ecommerce
Python
Machine learning
Data analysis
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Python
Machine learning
Data analysis
Data Science
Data warehouse
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Data Scientist
Cityblock Health
2020-02-01-2021-07-01
Healthcare
Healthcare
Python
SQL
Machine learning
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Python
SQL
Machine learning
Data Science
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PROJECTS
Sales forecasting
2023
Forecasting orders up to a month ahead. Modeled as a negative binomial process in order to obtain the forecast as a probability distribut...
Forecasting orders up to a month ahead. Modeled as a negative binomial process in order to obtain the forecast as a probability distribution.
Python
Statistics
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Python
Statistics
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