Samuel Monet

- Technical Leadership: Introduced extensive use of Python in the company

enhancing internal data capabilities through extensive use of AI and apps

developments.

- Database Architecture & Optimization: Redesigned the MySQL database

structure and developed scripts for data recoding and new uploads.

- Web development: Fast development (2 days) of the website:

data.groundtruthsolutions.org.

- AI/Machine Learning: Fine tunning of a Big Roberta model from Huggingface to categorize responses to some specific open-ended questions with great

results accross very different countries, languages and contexts.

- Product Development: Designed and built multiple applications to streamline

data workflows:

–One R-Shiny app for generating custom visualizations based on internal templates.

–One Streamlit app for real-time data collection monitoring with ETL functionality, featuring automated translations, GIS integration, and interactive

visualizations to enable users to check and clean data on daily basis.

–One Streamlit app for survey design application interfacing with the database

to develop surveys enabling user to have access to informations from previous

surveys and generate automaticaly the survey forms for the data collection apps.

- One Streamlit app using RAG to draft report on collection of qualitative surveys (Focus Group Discussions and Key Informant Interviews)

- Machine Learning & Advanced Analytics: Introduced ML algorithms,

including SHAP and gradient boosting, to provide more in-depth analysis,

moving beyond the previously used single-variable analysis.

- NLP & datamining: Conducted real-time analysis of Twitter data from

Somalia using the BERT model and Google translation API to identify trends

and extract key insights.

- Data Visualization: Developed interactive dashboards using Streamlit and

Dash to enhance data visualization and reporting.

Mathematics and Computer Science teacher in high school.

Teacher in Seconde, Premiere and Terminale S. (10th to 12th grade)