Herve Momo – Founding teams

Herve M

Data Scientist

Spearheaded the development of diverse machine learning models, notably enhancing performance with deep learning techniques through Python, TensorFlow, and Keras. Innovated with LLMs and Elasticsearch in information retrieval, leading to notable increases in user engagement and response efficiency.
Pioneered a time series predictive model leveraging weather data to forecast malaria outbreaks. This breakthrough empowered local authorities with improved preparedness, enabling proactive prevention measures, targeted resource allocation, and minimization of malaria’s spread and impact in vulnerable communities.
Transformed analytics capabilities by converting SAS programs to Python, aligning with open-source strategy initiatives. Enhanced customer journey analysis and optimized algorithms for improved operational efficiency. Automated data mining tasks, contributing to more effective data management and analysis.
Led cross-functional teams in executing full-cycle machine learning projects from data preparation to deployment, driving actionable business insights. Contributed significantly to client acquisition through the development of compelling proposals and presentations, ensuring high-quality outputs for client engagement.

Role 1

Data scientist

Role 2

Business intelligence developer

Industry Preference:

Unspecified

Commitment prefrence:

contract

Team Size Preference:

Any

Experience:

Senior

Location:

Canada

Company Stage Preference:

Any

Notable companies

Remote:

Remote

Project prefrence:

Willing to work for equity + rewards Willing to work for paid projects Willing to work for stock and paid projects

April 23 2001 - March 3 2006
University of Dortmund, Germany
Ph.D.

I earned my PhD in Physics from the University of Dortmund, Germany

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